{ "total": 573, "topics": [ { "id": 182187, "title": "Code competition debugging and errors", "comment_count": 12, "views": 0, "votes": 21 }, { "id": 164880, "title": "Welcome to the OSIC Pulmonary Fibrosis Progression Challenge!", "comment_count": 23, "views": 0, "votes": 45 }, { "id": 164854, "title": "Use this thread for teaming up!", "comment_count": 269, "views": 0, "votes": 29 }, { "id": 164871, "title": "New to Machine Learning or Kaggle?", "comment_count": 38, "views": 0, "votes": 19 }, { "id": 164883, "title": "Official External Data Thread", "comment_count": 55, "views": 0, "votes": 11 }, { "id": 736939, "title": "CT Image datacard", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 668817, "title": "I'm confused by that data", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 532127, "title": "New tem. How does this work?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 431560, "title": "Understanding the correlation between csv and DICOMs", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 383711, "title": "Why was Laplace Log Likelihood used ?", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 186619, "title": "Patient Clustering/Unsupervised learning", "comment_count": 4, "views": 0, "votes": 5 }, { "id": 321318, "title": "whether data set is class labeled data or not", "comment_count": 1, "views": 0, "votes": null }, { "id": 170710, "title": "A problem of GDCM about the pixel_array for patient with ID = ID00011637202177653955184", "comment_count": 26, "views": 0, "votes": 12 }, { "id": 183079, "title": "Leaderboard Probing ", "comment_count": 12, "views": 0, "votes": 18 }, { "id": 166957, "title": "GDCM library is needed to read scans properly with pydicom", "comment_count": 35, "views": 0, "votes": 53 }, { "id": 165856, "title": "CT scan ID00011637202177653955184 corrupted", "comment_count": 7, "views": 0, "votes": 2 }, { "id": 263780, "title": "How long does it take? ", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 256416, "title": "Only a shake-up will make the winner of the one who is now ~ in 800th place", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 167025, "title": "3D Deep Convolutional Auto Encoders", "comment_count": 16, "views": 0, "votes": 35 }, { "id": 243458, "title": "type of texture and shape based approach suitable for lung diseases", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 189346, "title": "1st place \"mostly\" unpredictable solution", "comment_count": 23, "views": 0, "votes": 63 }, { "id": 189220, "title": "6th place solution", "comment_count": 41, "views": 0, "votes": 79 }, { "id": 172313, "title": "Magic of seed 42", "comment_count": 22, "views": 0, "votes": 15 }, { "id": 174433, "title": "Extract metadata from DICOM files", "comment_count": 15, "views": 0, "votes": 39 }, { "id": 215936, "title": "How to analyze 22 GB of data on my laptop with Python?", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 215929, "title": "use this thread to team-up after 4 months from deadline!", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 187459, "title": "Search user not working Unable to add users for Collaboration", "comment_count": 5, "views": 0, "votes": 4 }, { "id": 204782, "title": "Using the data and approach for academic purpose/ publication", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 189528, "title": "Domain expert's legacy - segmentation masks of lung, heart & trachea", "comment_count": 16, "views": 0, "votes": 28 }, { "id": 197787, "title": "What is meant by prediction confidence ", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 189800, "title": "Congrats to all participants, OSIC team and Kaggle team", "comment_count": 7, "views": 0, "votes": 23 }, { "id": 191559, "title": "An efficient solution to Lung function decline prediction", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 191177, "title": "Apteo's Segments on FVC", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 189217, "title": "10th Place Solution", "comment_count": 16, "views": 0, "votes": 42 }, { "id": 189251, "title": "top 9 solution", "comment_count": 49, "views": 0, "votes": 57 }, { "id": 190100, "title": "Shakeup interactive scatterplot", "comment_count": 0, "views": 0, "votes": 17 }, { "id": 189255, "title": "Something is wrong...", "comment_count": 7, "views": 0, "votes": 9 }, { "id": 189301, "title": "Two constant values won 251st. This might imply reasons for the huge shakeup", "comment_count": 6, "views": 0, "votes": 33 }, { "id": 189496, "title": "23rd Place Solution - Single Tabnet model", "comment_count": 9, "views": 0, "votes": 14 }, { "id": 190016, "title": "Some final thoughts on the competition", "comment_count": 6, "views": 0, "votes": 4 }, { "id": 190600, "title": "Can't find my submission in the final standings leaderboard", "comment_count": 3, "views": 0, "votes": null }, { "id": 189705, "title": "Thanks to everyone and it's time to give back!", "comment_count": 6, "views": 0, "votes": 4 }, { "id": 190029, "title": "Methods and ideas used in the competition", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 189355, "title": "Another first place solution and shake up explanation", "comment_count": 2, "views": 0, "votes": 17 }, { "id": 189214, "title": "4th Place Solution", "comment_count": 4, "views": 0, "votes": 19 }, { "id": 188590, "title": "Most realistic competition ever", "comment_count": 13, "views": 0, "votes": 36 }, { "id": 188716, "title": "Is overfitting the sad, but successful way to succeed in this competition?", "comment_count": 11, "views": 0, "votes": 21 }, { "id": 189075, "title": "NOTE is useless for someone want notebook master, really angry!", "comment_count": 18, "views": 0, "votes": 12 }, { "id": 189205, "title": "Congrats to new 3x GM Rob Mulla!", "comment_count": 3, "views": 0, "votes": 12 }, { "id": 189187, "title": "I should have won gold medal and 12th by trusting my augmentation approach ", "comment_count": 6, "views": 0, "votes": 11 }, { "id": 189460, "title": "Fork, Submit and forget. Get a Silver/Bronze easily :/", "comment_count": 3, "views": 0, "votes": 6 }, { "id": 189429, "title": "Post-mortem dissection & analysis", "comment_count": 4, "views": 0, "votes": 8 }, { "id": 189232, "title": "34th place solution - Using CT Scans (+ Code)", "comment_count": 6, "views": 0, "votes": 12 }, { "id": 189228, "title": "What went Wrong ?? Need help from the community", "comment_count": 2, "views": 0, "votes": 10 }, { "id": 189293, "title": "Huge changes & shout out to some legends", "comment_count": 4, "views": 0, "votes": 5 }, { "id": 189197, "title": "Solution for the first place, but we didn't select", "comment_count": 8, "views": 0, "votes": 9 }, { "id": 189365, "title": "My first Silver Medal on Kaggle! (65th on Private LB)", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 189212, "title": "Lesson learned sharing", "comment_count": 1, "views": 0, "votes": 4 }, { "id": 189341, "title": "Last 3 CV -6.8746 solution which suffered giant shake up to 1525th place", "comment_count": 0, "views": 0, "votes": 8 }, { "id": 189242, "title": "67th Place Solution but Just ElasticNet performed way better!", "comment_count": 0, "views": 0, "votes": 9 }, { "id": 189229, "title": "Image features good for CV but disastrous for private... what should I do?", "comment_count": 4, "views": 0, "votes": 4 }, { "id": 189318, "title": "5th place solution", "comment_count": 1, "views": 0, "votes": 7 }, { "id": 188742, "title": "Good Luck and Best wishes!!", "comment_count": 7, "views": 0, "votes": 13 }, { "id": 189040, "title": "Usefulness of the solution in real-world scenario?", "comment_count": 5, "views": 0, "votes": 5 }, { "id": 189180, "title": "Expected Shake-up", "comment_count": 1, "views": 0, "votes": 8 }, { "id": 189189, "title": "Silver medal in three days of work", "comment_count": 4, "views": 0, "votes": 4 }, { "id": 189360, "title": "Thanks and Congrats to Everyone", "comment_count": 0, "views": 0, "votes": 5 }, { "id": 189201, "title": "Best score using only tabular data", "comment_count": 7, "views": 0, "votes": 3 }, { "id": 189226, "title": "Congratulations Team Risers ! You showed real skills", "comment_count": 0, "views": 0, "votes": 5 }, { "id": 189421, "title": "Probably simplest solution - 180 lb", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 189026, "title": "Sharing information when the competition is over !", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 188980, "title": "Percent or Baseline Percent in final submissions?", "comment_count": 9, "views": 0, "votes": 3 }, { "id": 189928, "title": "Model training: synchronous or saved/used?", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 189302, "title": "Surrogate loss for modified Laplace log likelihood (79th solution)", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 189397, "title": "[#145] Robust Solution", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 189134, "title": "What would be your choice : Public Kernel (High LB) or Your Model (High CV)", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 188636, "title": "Here comes the shake up!", "comment_count": 7, "views": 0, "votes": 7 }, { "id": 189190, "title": "A non-selected solution [private lb: -6.8331]", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 189177, "title": "Congratulations to Alexey Petrov...", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 189367, "title": "Congratulations to you all!", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 188861, "title": "Data augmentation via generation of synthetic CT scans & tabular data", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 189292, "title": "Image data ftw 🏆", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 188467, "title": "I'll share my ideas with you.", "comment_count": 4, "views": 0, "votes": 11 }, { "id": 189584, "title": "My ranking disappeared？", "comment_count": 7, "views": 0, "votes": null }, { "id": 189729, "title": "LB rank missing ", "comment_count": 2, "views": 0, "votes": null }, { "id": 189203, "title": "I just missed the 11nth place ", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 189329, "title": "Making my (not submitted) 5th place solution public", "comment_count": 1, "views": 0, "votes": null }, { "id": 189149, "title": "Choose your submissions wisely and buckle up for the Shakeup!", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 189198, "title": "How I missed the Gold: Overfitting to CV was NOT good here", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 189210, "title": "When will the final result come out?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 189019, "title": "Deadline submission", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 189272, "title": "why can't I choose the notebook that performs best on the private dataset ?", "comment_count": 2, "views": 0, "votes": null }, { "id": 189655, "title": "Still one remaining question", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 189282, "title": "i would had won the gold medal ", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 189179, "title": "Analysis of the winning solution", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 188931, "title": "Just curious: Why is the number of teams/participants increasing after entry deadline?", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 189253, "title": "Rolling Leaderboards", "comment_count": 1, "views": 0, "votes": null }, { "id": 189169, "title": "Submission Glitch", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 189247, "title": "Benefit of images", "comment_count": 1, "views": 0, "votes": null }, { "id": 189227, "title": "Earthquake or Tsunami? What has shaken this leaderboard?", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 189194, "title": "Survived Shakeup :) - Lost Bronze :( ", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 189174, "title": "Love this shake up", "comment_count": 3, "views": 0, "votes": null }, { "id": 189178, "title": "Wow, amazing shake-up!", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 187625, "title": "What's the recipe for sucess?", "comment_count": 9, "views": 0, "votes": 23 }, { "id": 189074, "title": "More features", "comment_count": 2, "views": 0, "votes": 0 }, { "id": 188737, "title": "How to choice image for training?", "comment_count": 2, "views": 0, "votes": null }, { "id": 185077, "title": "Results of experiments with different IMG-derived features", "comment_count": 44, "views": 0, "votes": 25 }, { "id": 187055, "title": "Approache to use images ( using siamese to find difference as nummerical difference )", "comment_count": 4, "views": 0, "votes": 5 }, { "id": 188317, "title": "How can I debug my code that works on commit but fails submission?", "comment_count": 7, "views": 0, "votes": 3 }, { "id": 188779, "title": "Submission Scoring Error", "comment_count": 2, "views": 0, "votes": null }, { "id": 187611, "title": "What my predictions on the 5 samples from the submission test set look like...", "comment_count": 11, "views": 0, "votes": 8 }, { "id": 186858, "title": "Do you use magic?", "comment_count": 10, "views": 0, "votes": 10 }, { "id": 187460, "title": "Submission File not Found", "comment_count": 1, "views": 0, "votes": 6 }, { "id": 188060, "title": "Confidence value of prediction", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 188150, "title": "Looking for a team to join", "comment_count": 1, "views": 0, "votes": null }, { "id": 187981, "title": "Notebook run with GPU getting Hanged for Unknown reason", "comment_count": 2, "views": 0, "votes": null }, { "id": 187550, "title": "Public Leader board score and selected submissions", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 187559, "title": "Very very strange timeout error", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 187953, "title": "submission issues on 9/30 ? ", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 187695, "title": "Submission Scoring Error", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 187327, "title": "CV Evolution", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 186683, "title": "Is your LB or your CV the best indication for selecting final submissions?", "comment_count": 7, "views": 0, "votes": 7 }, { "id": 187468, "title": "Lost around 9 hours of GPU yesterday", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 186546, "title": "\"Notebook Exceeded Allowed Compute\" Error while submitting/rerun the code", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 186349, "title": "Possible resources for you and mostly what I have learned thus far.", "comment_count": 10, "views": 0, "votes": 11 }, { "id": 187420, "title": "Submission Error", "comment_count": 2, "views": 0, "votes": null }, { "id": 186585, "title": "Figuring out how to predict FVC and Sigma", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 186618, "title": "Resampling", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 186160, "title": "Research of model parameters with EfficientNets & CNN", "comment_count": 5, "views": 0, "votes": 9 }, { "id": 187371, "title": "Model input ,output", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 185501, "title": "Some simple techniques for stacking models", "comment_count": 6, "views": 0, "votes": 14 }, { "id": 186884, "title": "Hierarchical modelling", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 182811, "title": "Results differ in Interactive and Commit session", "comment_count": 13, "views": 0, "votes": 2 }, { "id": 186802, "title": "Gaussian noise ?", "comment_count": 3, "views": 0, "votes": null }, { "id": 187127, "title": "my confidence for a predicted person maintains almost the same throughout the weeks", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 186105, "title": "how to install gdcm on colab", "comment_count": 3, "views": 0, "votes": 5 }, { "id": 186824, "title": "Submission Scoring Error", "comment_count": 2, "views": 0, "votes": null }, { "id": 186757, "title": "help on optimal Kfold", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 186448, "title": "Is Pulmonary Fibrosis related to the weather ?", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 185798, "title": "How about your CV and LB?", "comment_count": 11, "views": 0, "votes": 6 }, { "id": 186150, "title": "VTK on Kaggle with DICOM-CT Data", "comment_count": 5, "views": 0, "votes": 5 }, { "id": 186405, "title": "Why are Weeks in the test data not zeros?", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 186270, "title": "Is public leaderboard based on a different test data?", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 186567, "title": "I can´t submit", "comment_count": 2, "views": 0, "votes": null }, { "id": 183626, "title": "Do you really think public solution might work?", "comment_count": 20, "views": 0, "votes": 16 }, { "id": 186730, "title": "Network Extraction from Images", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 186482, "title": "Variable input shape for 3d volume in CNN network", "comment_count": 2, "views": 0, "votes": null }, { "id": 185150, "title": "Smoking is good for you health — data suggest. Is it correctly labeled?", "comment_count": 8, "views": 0, "votes": 15 }, { "id": 186211, "title": "Using competition metric as the loss function", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 185870, "title": "Timeout problem(Runtime in gpu only 102.3s)", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 182653, "title": "Just 3 weeks to go - still just one fabulous idea how to use IMG-Data?", "comment_count": 16, "views": 0, "votes": 11 }, { "id": 182955, "title": "Dicom files not necessary?", "comment_count": 21, "views": 0, "votes": 8 }, { "id": 185584, "title": "Most Informative 2D images", "comment_count": 0, "views": 0, "votes": 6 }, { "id": 186146, "title": "Submission CSV Not Found (no errors, submission.csv produced)", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 185697, "title": "pip installation consumes RAM", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 185310, "title": "Using CT scans should help improve score!", "comment_count": 7, "views": 0, "votes": null }, { "id": 185280, "title": "How to use efficientnet without internet?", "comment_count": 4, "views": 0, "votes": 4 }, { "id": 186126, "title": "what type of AUG", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 169344, "title": "DICOM Files Memory Leak", "comment_count": 16, "views": 0, "votes": 15 }, { "id": 180064, "title": "Usage of percent feature", "comment_count": 18, "views": 0, "votes": 15 }, { "id": 183496, "title": "Submission file missing - help needed", "comment_count": 11, "views": 0, "votes": null }, { "id": 185824, "title": "Has anyone convincingly cracked the tabular data barrier?", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 185340, "title": "Hidden data set - Notebook Threw Exception", "comment_count": 7, "views": 0, "votes": 0 }, { "id": 184051, "title": "Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels", "comment_count": 0, "views": 0, "votes": 5 }, { "id": 185733, "title": "PatientPosition attribute is not marked correctly", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 183235, "title": "Test time augmentation for uncertainty estimation", "comment_count": 6, "views": 0, "votes": 11 }, { "id": 183966, "title": "GPU not used for Training with 3d model", "comment_count": 3, "views": 0, "votes": 6 }, { "id": 177285, "title": "Not understanding DICOM", "comment_count": 15, "views": 0, "votes": 14 }, { "id": 185619, "title": "how to make different dataset based on one notebook outcomes", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 180026, "title": "Are there any licensing issues with using Torchvision or other common libraries?", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 185519, "title": "Starting point for competition", "comment_count": 1, "views": 0, "votes": null }, { "id": 184025, "title": "Weird Issue on Kaggle", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 185357, "title": "Is there something wrong with kernels?", "comment_count": 1, "views": 0, "votes": null }, { "id": 183351, "title": "Submission completion notifications", "comment_count": 5, "views": 0, "votes": 8 }, { "id": 178964, "title": "CT correspond to first line FVC or week 0 FVC ？", "comment_count": 8, "views": 0, "votes": 1 }, { "id": 185361, "title": "RNN, LSTM, GRU", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 178866, "title": "Notebook Timeout", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 185258, "title": "TensorFlow issue", "comment_count": 3, "views": 0, "votes": null }, { "id": 183816, "title": "Am I the only one feel shocked about the current LB result?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 185173, "title": "Autoencoder's features in tabular model", "comment_count": 1, "views": 0, "votes": null }, { "id": 183721, "title": "GDCM library import problem", "comment_count": 3, "views": 0, "votes": 0 }, { "id": 177045, "title": "Best single model - CV/LB Score", "comment_count": 32, "views": 0, "votes": 23 }, { "id": 183889, "title": "How i dealt with execution errors", "comment_count": 1, "views": 0, "votes": null }, { "id": 183881, "title": "I Need to 3 people", "comment_count": 1, "views": 0, "votes": null }, { "id": 181981, "title": "Practicality of a Time-Series Model? ", "comment_count": 4, "views": 0, "votes": 7 }, { "id": 182904, "title": "Questions on FVC and data (FVC variations and strange time gap in last three weeks)", "comment_count": 4, "views": 0, "votes": 5 }, { "id": 183135, "title": "Want to have an easy-to-handle loss-function? Now we got new competitions using Log-Loss!", "comment_count": 0, "views": 0, "votes": 5 }, { "id": 183086, "title": "How to choose the best solution?", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 182890, "title": "Submission error", "comment_count": 1, "views": 0, "votes": 5 }, { "id": 181363, "title": "LB vs Mean Confidence", "comment_count": 9, "views": 0, "votes": 7 }, { "id": 183621, "title": "Images for negative and positive value of the same week", "comment_count": 2, "views": 0, "votes": null }, { "id": 183336, "title": "About GPU time limit", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 182971, "title": "Is there any correlation between the \"Percent\" in training data and \"Confidence\" in submission data?", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 182084, "title": "Lung Volume Calculus with Trapezoidal Rule", "comment_count": 2, "views": 0, "votes": 7 }, { "id": 182730, "title": "How do you concatinate tabular data and image data", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 180680, "title": "Weird typical FVC value", "comment_count": 8, "views": 0, "votes": 13 }, { "id": 182737, "title": "Prediction Layer with cumsum function", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 183386, "title": "How to extend kaggle TPU usage time?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 183248, "title": "concerns about finetuning the parameters carefully", "comment_count": 5, "views": 0, "votes": null }, { "id": 183281, "title": "Saving a model", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 182460, "title": "Questions about test data", "comment_count": 4, "views": 0, "votes": 6 }, { "id": 182804, "title": "Shared my private kernel by mistake with wrong collaborator", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 180434, "title": "Naive (Model-less) Baseline vs Top Models", "comment_count": 15, "views": 0, "votes": 23 }, { "id": 180424, "title": "Guidelines on creating model and improving accuracy", "comment_count": 4, "views": 0, "votes": 4 }, { "id": 183149, "title": "Mean of last three measurement prediction?", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 181311, "title": "Top CT-scan based scores", "comment_count": 4, "views": 0, "votes": 12 }, { "id": 182142, "title": "Typical FVC calculation", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 180637, "title": "Laplace Log Likelihood Score : Understanding the Theory for Beginners", "comment_count": 11, "views": 0, "votes": 31 }, { "id": 181632, "title": "What was your approach in predicting confidence?", "comment_count": 7, "views": 0, "votes": 11 }, { "id": 182484, "title": "Test set question: 3 Patient_Weeks", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 182168, "title": "What are your best scores using only tabular data?", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 181850, "title": "Yet another notebook with DICOM standard", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 182082, "title": "DenseNet vs ResNet", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 165727, "title": "Domain expert's insights", "comment_count": 59, "views": 0, "votes": 264 }, { "id": 166123, "title": "Domain expert's insights #2", "comment_count": 38, "views": 0, "votes": 130 }, { "id": 181868, "title": "Has anyone figured out how to visually spot fibrotic tissue?", "comment_count": 1, "views": 0, "votes": 3 }, { "id": 175444, "title": "Percent columns", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 181512, "title": "\"Submission Scoring Error\"", "comment_count": 10, "views": 0, "votes": 1 }, { "id": 182283, "title": "Downloading dataset using Kaggle API", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 181423, "title": "Execution time for submitted kernel", "comment_count": 1, "views": 0, "votes": 4 }, { "id": 176118, "title": "Augmentations Tutorial w/ albumentations", "comment_count": 1, "views": 0, "votes": 6 }, { "id": 182075, "title": "Submit failed with status code 500", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 181445, "title": "How to install R package?", "comment_count": 11, "views": 0, "votes": 1 }, { "id": 181505, "title": "The challenge of directly using the competition loss function (when Hessian is needed)", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 181255, "title": "Scoring error when trying to blending the submission files", "comment_count": 8, "views": 0, "votes": 3 }, { "id": 179297, "title": "Can we assume that all patients are experiencing a decline in lung function?", "comment_count": 20, "views": 0, "votes": 10 }, { "id": 182023, "title": "EDA for beginners", "comment_count": 1, "views": 0, "votes": -1 }, { "id": 179033, "title": "Optimization of the data preparation", "comment_count": 19, "views": 0, "votes": 33 }, { "id": 181580, "title": "Connecting to google colab", "comment_count": 1, "views": 0, "votes": null }, { "id": 181264, "title": "Useful Resources for Predict lung function decline", "comment_count": 0, "views": 0, "votes": 5 }, { "id": 181417, "title": "Question regarding running time", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 181289, "title": "DICOM images readable without GDCM", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 181899, "title": "Commit Issue -Notebook not completing", "comment_count": 1, "views": 0, "votes": null }, { "id": 181198, "title": "What is the relation between Confidence and Percent?", "comment_count": 5, "views": 0, "votes": null }, { "id": 181800, "title": "Found a berry in the forest - How speeding up/optimize loading/training process.", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 174486, "title": "Score stays equal to -13.1045", "comment_count": 7, "views": 0, "votes": 4 }, { "id": 180732, "title": "Separate FVC and Sigma prediction", "comment_count": 4, "views": 0, "votes": 7 }, { "id": 181715, "title": "resizing ct scans", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 181013, "title": "Using externally trained models ?", "comment_count": 7, "views": 0, "votes": 1 }, { "id": 181234, "title": "Duplicate data ? Which Value to use?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 179668, "title": "Notebook cancel run button", "comment_count": 7, "views": 0, "votes": null }, { "id": 181614, "title": "Submission file must be in same order as sample submission?", "comment_count": 4, "views": 0, "votes": null }, { "id": 180699, "title": "Scan jpgs and Segmented lung jpgs dataset", "comment_count": 2, "views": 0, "votes": 7 }, { "id": 181522, "title": "More explanation needed regarding confidence", "comment_count": 1, "views": 0, "votes": null }, { "id": 181214, "title": "Why are there duplicate rows in these two columns?['Patient','Weeks']", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 180033, "title": "\"Notebook Timeout\" Error for no obvious reason", "comment_count": 4, "views": 0, "votes": 4 }, { "id": 180459, "title": "scoring error", "comment_count": 13, "views": 0, "votes": 4 }, { "id": 166533, "title": "Submission scoring error ", "comment_count": 17, "views": 0, "votes": 8 }, { "id": 177675, "title": "How can I normalize the Hounsfield Units so that all of the CT scans are on the same scale?", "comment_count": 2, "views": 0, "votes": null }, { "id": 180413, "title": "close but not perfect", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 180565, "title": "Estimating performance from folds", "comment_count": 0, "views": 0, "votes": 6 }, { "id": 181247, "title": "Obtaining models from tensorflow website and a resource for the competition", "comment_count": 2, "views": 0, "votes": null }, { "id": 180747, "title": "Can't find why my notebook doesn't pass the submission, Submission CSV Not Found", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 181075, "title": "Different ways to resize 3D images", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 176926, "title": "Best way to use CT scans for better LB scores", "comment_count": 8, "views": 0, "votes": 40 }, { "id": 180173, "title": "Debug Procedure for \"Submission CSV Not Found\"", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 177083, "title": "Loss and Accuracy", "comment_count": 4, "views": 0, "votes": 7 }, { "id": 167085, "title": "What does CT scans are capturing?", "comment_count": 31, "views": 0, "votes": 31 }, { "id": 178852, "title": "Need clarity about the 'Initial measurement'", "comment_count": 3, "views": 0, "votes": null }, { "id": 180091, "title": "A Begginer's Question", "comment_count": 16, "views": 0, "votes": 1 }, { "id": 176933, "title": "Linear decay as opposed to quantile regression", "comment_count": 5, "views": 0, "votes": 4 }, { "id": 180414, "title": "How i handled the notebook timeout", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 180415, "title": "Increase TimeOut", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 178237, "title": "Some patients under treatment??", "comment_count": 14, "views": 0, "votes": 29 }, { "id": 180442, "title": "Confirmation of Patient Metadata in test set", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 180612, "title": "Why this showing?", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 179954, "title": "Getting extra GPU computationl resources ", "comment_count": 3, "views": 0, "votes": 6 }, { "id": 179471, "title": "Is a LB score of -6.81 over fitting on the leaderboard?", "comment_count": 4, "views": 0, "votes": 5 }, { "id": 180611, "title": "Error occurred while committing kernel", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 180271, "title": "What is confidence ", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 179317, "title": "Percent calculation method", "comment_count": 7, "views": 0, "votes": 3 }, { "id": 180571, "title": "In test data, what is initial FVC measurement?", "comment_count": 2, "views": 0, "votes": null }, { "id": 180416, "title": "Be carefull", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 180161, "title": "gdcm issue when submitting the notebook", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 180506, "title": "Splitted Loss", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 175597, "title": "Relationship between \"FVC\" and \"Percent\" seems to hint at lots of hidden information.", "comment_count": 21, "views": 0, "votes": 16 }, { "id": 180301, "title": "Continued error with patient #ID00011637202177653955184", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 178776, "title": "Patient Demographics", "comment_count": 3, "views": 0, "votes": 5 }, { "id": 178901, "title": "No output files found....!!!!!!!!", "comment_count": 8, "views": 0, "votes": 2 }, { "id": 180154, "title": "Scoring time for submissions", "comment_count": 2, "views": 0, "votes": null }, { "id": 171101, "title": "GDCM library import problems (SOLVED)", "comment_count": 6, "views": 0, "votes": 2 }, { "id": 174507, "title": "Confused about FVC on ex-smokers", "comment_count": 5, "views": 0, "votes": 4 }, { "id": 177235, "title": "Gentle Reminder on 85% private test set", "comment_count": 9, "views": 0, "votes": 30 }, { "id": 179970, "title": "one of the reasons Submission Scoring Error", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 180012, "title": "Long Submission Time", "comment_count": 3, "views": 0, "votes": null }, { "id": 179955, "title": "Pandora's box", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 180106, "title": "question about using dataset for a project", "comment_count": 1, "views": 0, "votes": -2 }, { "id": 178674, "title": "Request Information", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 177787, "title": "SUBMISSION CSV NOT FOUND", "comment_count": 31, "views": 0, "votes": 3 }, { "id": 179220, "title": "sample_submission.csv grown up too in submission ?", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 176665, "title": "Really low private test set score", "comment_count": 21, "views": 0, "votes": 3 }, { "id": 178896, "title": "How to deal with the GDCM error?", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 179026, "title": "Submission CSV Not Found", "comment_count": 0, "views": 0, "votes": 2 }, { "id": 176672, "title": "Submission Scoring Error even if my submission file matches with the sample one", "comment_count": 1, "views": 0, "votes": null }, { "id": 178590, "title": "Question about the data", "comment_count": 12, "views": 0, "votes": 1 }, { "id": 176137, "title": "Submission Scoring Error", "comment_count": 9, "views": 0, "votes": 6 }, { "id": 178305, "title": "Number of patients in the test data", "comment_count": 7, "views": 0, "votes": 2 }, { "id": 178331, "title": "Multiple Quantile Regression With LSTM", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 166141, "title": "Combining 2d slices into a single jpeg ", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 173842, "title": "Does anyone has the issue as Notebook Threw Exception", "comment_count": 4, "views": 0, "votes": null }, { "id": 178000, "title": "Cutmix in Tensorflow", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 178600, "title": "Strange 'bubbles/organs' in CT scans.", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 176698, "title": "Submission giving errors", "comment_count": 5, "views": 0, "votes": 0 }, { "id": 177666, "title": "what relevant information can we extract from DICOM metadata?", "comment_count": 12, "views": 0, "votes": 4 }, { "id": 170527, "title": "There is nothing more frustrating than trying to use TPUs...", "comment_count": 26, "views": 0, "votes": 15 }, { "id": 177743, "title": "Submission FIle Not Found", "comment_count": 6, "views": 0, "votes": 8 }, { "id": 178004, "title": "More explanation needed about what we're supposed to predict", "comment_count": 7, "views": 0, "votes": 2 }, { "id": 173839, "title": "LSTM", "comment_count": 10, "views": 0, "votes": 1 }, { "id": 178116, "title": "Submission scoring error", "comment_count": 8, "views": 0, "votes": 2 }, { "id": 177689, "title": "Question for the Kaggle team: does SmokingStatus refer to date of baseline CT or last FVC?", "comment_count": 2, "views": 0, "votes": 6 }, { "id": 178469, "title": "Where can I get a better understanding of analysis on images using NN?", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 177728, "title": "Get motivated for this competition", "comment_count": 5, "views": 0, "votes": 5 }, { "id": 175770, "title": "Notebook Timeout Error", "comment_count": 7, "views": 0, "votes": 3 }, { "id": 177447, "title": "Incorrect RescaleIntercept?", "comment_count": 6, "views": 0, "votes": 2 }, { "id": 178330, "title": "what is the approach to deal with such kind of data?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 169658, "title": "Masks on Lungs", "comment_count": 11, "views": 0, "votes": 55 }, { "id": 178648, "title": "Lung segmentation | Pytorch | UNet3d", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 178427, "title": "Looking for a teammates.... who could spend time learning and applying.", "comment_count": 1, "views": 0, "votes": 0 }, { "id": 166738, "title": "Please Don't Link to Your Own Notebook and Ask for Upvotes", "comment_count": 15, "views": 0, "votes": 87 }, { "id": 177525, "title": "Some basic questions about the dataset / challenge", "comment_count": 6, "views": 0, "votes": 8 }, { "id": 177061, "title": "What does this mean by \"final three FVC measurements\" ? ", "comment_count": 7, "views": 0, "votes": 9 }, { "id": 177619, "title": "Converting dicoms to 3D volumes", "comment_count": 4, "views": 0, "votes": 3 }, { "id": 178105, "title": "I feel lost about using the images for a model", "comment_count": 2, "views": 0, "votes": null }, { "id": 177870, "title": "How to submit?", "comment_count": 5, "views": 0, "votes": null }, { "id": 177807, "title": "Confidence ???", "comment_count": 5, "views": 0, "votes": null }, { "id": 178259, "title": "unable to submit using CT scans", "comment_count": 4, "views": 0, "votes": null }, { "id": 177844, "title": "Question about loss functions in pytorch", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 177248, "title": "Pre-training 3D CNN with smoking status as label", "comment_count": 3, "views": 0, "votes": 6 }, { "id": 177845, "title": "Stratified GroupKFold usage", "comment_count": 4, "views": 0, "votes": null }, { "id": 178187, "title": "Out of bounds value conversion", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 178033, "title": "understanding few terms", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 177485, "title": "Minor typo error in Rules", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 176975, "title": "Effect of Colormaps", "comment_count": 2, "views": 0, "votes": 10 }, { "id": 177794, "title": "Lung segmentation issue for lighter images", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 165015, "title": "How to make submissions in this contest?", "comment_count": 11, "views": 0, "votes": 2 }, { "id": 177722, "title": "Can directly load csv and submit?", "comment_count": 3, "views": 0, "votes": null }, { "id": 176282, "title": "Use of Dicom Images", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 177058, "title": "Let's collect papers/jounals/articles related to Pulmonary Fibrosis Progression", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 177645, "title": "Unable to submit my submission csv file ", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 176826, "title": "Are the test FVC values free of outliers?", "comment_count": 3, "views": 0, "votes": 7 }, { "id": 177444, "title": "submission error", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 177759, "title": "Need help understanding the competition (the test set and the purpose of images)", "comment_count": 2, "views": 0, "votes": null }, { "id": 177760, "title": "Error while making lungmask", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 177898, "title": "Joining a group", "comment_count": 0, "views": 0, "votes": -2 }, { "id": 177081, "title": "what is the sense in calculating the fvc for one observation? ", "comment_count": 2, "views": 0, "votes": null }, { "id": 176809, "title": "DCM to TIF & JPG Conversion notebook with Lungs windowing", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 176094, "title": "I tried random forest, neural network and linear regression.", "comment_count": 11, "views": 0, "votes": 3 }, { "id": 177651, "title": "What is the best way to resize the number of CT slices for each scan?", "comment_count": 2, "views": 0, "votes": null }, { "id": 166520, "title": "CV vs Public LB", "comment_count": 30, "views": 0, "votes": 13 }, { "id": 173636, "title": "How to calculate the Confidence", "comment_count": 17, "views": 0, "votes": 16 }, { "id": 176879, "title": "It appears there are missing slices", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 174726, "title": "How can I save the complete CT pixel data?", "comment_count": 8, "views": 0, "votes": -1 }, { "id": 177453, "title": "Keep getting error on Submission", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 174798, "title": "New to Computer Vision???", "comment_count": 12, "views": 0, "votes": 16 }, { "id": 177358, "title": "Submission CSV Not Found", "comment_count": 8, "views": 0, "votes": 0 }, { "id": 177200, "title": "Working with Tabular Data", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 176950, "title": "3D CNN for regression", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 171580, "title": "Getting Started with Competitions", "comment_count": 6, "views": 0, "votes": 10 }, { "id": 176911, "title": "Thoughts on shakeup?", "comment_count": 2, "views": 0, "votes": null }, { "id": 177356, "title": "Does sample_submission.csv contain private data?", "comment_count": 5, "views": 0, "votes": null }, { "id": 177362, "title": "Pair Of Overlapping Images For ID00173637202238329754031 ", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 177063, "title": "First Competition I'm Trying, Needed Support", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 177059, "title": "Dataset Transformation Pipeline", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 176899, "title": "Getting Submision Error", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 166753, "title": "Confidence (aka std) clarification", "comment_count": 7, "views": 0, "votes": 18 }, { "id": 176462, "title": "Related time series and medical imaging Kaggle competitions", "comment_count": 2, "views": 0, "votes": 8 }, { "id": 176053, "title": "Background literature on pulmonary fibrosis", "comment_count": 4, "views": 0, "votes": 8 }, { "id": 176682, "title": "A Very Useful Book for Novices", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 175938, "title": "Over fitting on the Dicom files", "comment_count": 2, "views": 0, "votes": 8 }, { "id": 176956, "title": "Submission error", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 176660, "title": "Is my understanding of problem statement correct?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 175145, "title": "Tabular data augmentation", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 176894, "title": "difficult to make progress", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 170392, "title": "How image data is used for training?", "comment_count": 18, "views": 0, "votes": 11 }, { "id": 176352, "title": "Union csv-file and dcm-file", "comment_count": 3, "views": 0, "votes": 4 }, { "id": 176831, "title": "Training pipeline", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 176816, "title": "Just sharing some thoughts.Do this seem right?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 176503, "title": "Lung Segmentation results", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 168469, "title": "How good are we doing so far?", "comment_count": 8, "views": 0, "votes": 45 }, { "id": 176606, "title": "How to save output ", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 176015, "title": "Question about baseline week", "comment_count": 5, "views": 0, "votes": 4 }, { "id": 175870, "title": "How to feed dicom files into the model?", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 176755, "title": "Combining kernels and NameError error code", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 176155, "title": "Basic questions about (dicom) image data", "comment_count": 6, "views": 0, "votes": 3 }, { "id": 176526, "title": "Any way to extract FVC from CT dicom image?", "comment_count": 1, "views": 0, "votes": null }, { "id": 176185, "title": "Dicom Week correspondence", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 173778, "title": "Creating Metadata from DICOM Images", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 176692, "title": "Slice increment not consistent through all slices", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 176138, "title": "DICOM Data Dictionary", "comment_count": 0, "views": 0, "votes": 4 }, { "id": 175251, "title": "Spacing Between Slices: Critical information missing for 134 CT scans", "comment_count": 12, "views": 0, "votes": 9 }, { "id": 176312, "title": "LUNG segmentation", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 174938, "title": "Leak-free KFold CV", "comment_count": 4, "views": 0, "votes": 23 }, { "id": 176551, "title": "MultuInput - Multioutput architecture and few other approach", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 174518, "title": "A difficult metric for a problem physicians themselves can't handle, overfitting and sampling...", "comment_count": 3, "views": 0, "votes": 15 }, { "id": 176296, "title": "No Week 0 for Many Patients ?", "comment_count": 2, "views": 0, "votes": -1 }, { "id": 176351, "title": "Submission Scoring Error", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 175906, "title": "3D ConvModel", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 164842, "title": "Team up?", "comment_count": 32, "views": 0, "votes": 3 }, { "id": 169216, "title": "Question about the real test set", "comment_count": 15, "views": 0, "votes": 5 }, { "id": 165149, "title": "All Questions about the data set", "comment_count": 44, "views": 0, "votes": 9 }, { "id": 174434, "title": "All you wanted to know about DICOM files and you were afraid to ask", "comment_count": 1, "views": 0, "votes": 22 }, { "id": 169121, "title": "Making use of CT scans: end-to-end model that uses CT scan latent features and tabular features", "comment_count": 15, "views": 0, "votes": 42 }, { "id": 176252, "title": "image file has time?", "comment_count": 1, "views": 0, "votes": null }, { "id": 175768, "title": "How to install gdcm package without internet", "comment_count": 3, "views": 0, "votes": null }, { "id": 175869, "title": "\"Your notebook tried to allocate more memory than is available. It has restarted.\"", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 175384, "title": "Submission CSV Not Found", "comment_count": 8, "views": 0, "votes": null }, { "id": 175673, "title": "Using image features ", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 176123, "title": "How does Osic-Multiple-Quantile-Regression even fit?", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 174536, "title": "Probabilistic Machine Learning: A Different Approach!", "comment_count": 5, "views": 0, "votes": 14 }, { "id": 175041, "title": "Issues reading dicom series for patient ID00052637202186188008618", "comment_count": 6, "views": 0, "votes": 4 }, { "id": 174162, "title": "Questions about the data", "comment_count": 7, "views": 0, "votes": 9 }, { "id": 174415, "title": "Problem with test set preprocessing ", "comment_count": 2, "views": 0, "votes": null }, { "id": 175728, "title": "Problem in data download", "comment_count": 1, "views": 0, "votes": null }, { "id": 165252, "title": "Confidence Value Meaning?", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 173967, "title": "Notebook not getting Saved", "comment_count": 9, "views": 0, "votes": 8 }, { "id": 175776, "title": "Doubt in given data. Please answer my question.", "comment_count": 1, "views": 0, "votes": -2 }, { "id": 175772, "title": "Please answer my question.", "comment_count": 1, "views": 0, "votes": -3 }, { "id": 175061, "title": "How to read the file created by notebook once it completes it execution", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 175518, "title": "Variable number of images for each patient", "comment_count": 2, "views": 0, "votes": null }, { "id": 175266, "title": "Need to clear Biological terms for the competition ", "comment_count": 1, "views": 0, "votes": -4 }, { "id": 175451, "title": "Benchmark for Pulmonary Fibrosis Progression", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 175244, "title": "Loading the private test set scans takes a long time", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 175057, "title": "Is anyone planning to add pyro to kaggle?", "comment_count": 2, "views": 0, "votes": null }, { "id": 175291, "title": "Link to a very useful info: \"DICOM Processing and Segmentation\" ", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 175357, "title": "Cannot submit file if I download gdcm as part of notebook", "comment_count": 1, "views": 0, "votes": null }, { "id": 175302, "title": "Need Better Data", "comment_count": 6, "views": 0, "votes": null }, { "id": 175553, "title": "Super LB storm Expected", "comment_count": 0, "views": 0, "votes": -5 }, { "id": 175292, "title": "How are the weeks in the test set selected?", "comment_count": 1, "views": 0, "votes": null }, { "id": 170992, "title": "Outlier in Patients", "comment_count": 6, "views": 0, "votes": 4 }, { "id": 174341, "title": "Autoencoders for Beginners", "comment_count": 9, "views": 0, "votes": 8 }, { "id": 165723, "title": "Dataset v2 posted", "comment_count": 63, "views": 0, "votes": 44 }, { "id": 175666, "title": "CoronaWhy.org - Collaboration of Data Scientists and Medical Professionals", "comment_count": 0, "views": 0, "votes": -6 }, { "id": 167531, "title": "What are the \"final three FVC measurements\" for test patients? Which weeks are for these three measurements?", "comment_count": 3, "views": 0, "votes": 8 }, { "id": 169095, "title": "Duplicate Data Patient/Weeks/FVC in Train", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 174144, "title": "Using training CSV data + image pixels data", "comment_count": 5, "views": 0, "votes": -1 }, { "id": 167764, "title": "Uncertainty prediction with neural nets", "comment_count": 7, "views": 0, "votes": 34 }, { "id": 174939, "title": "What's your best single PyTorch model?", "comment_count": 2, "views": 0, "votes": -1 }, { "id": 174994, "title": "too many indexes", "comment_count": 2, "views": 0, "votes": null }, { "id": 174009, "title": "Shape of FVC vs. Weeks plot", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 174896, "title": "How do I calculate Confidence from standard deviation for test data", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 174901, "title": "pytorch model best score", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 174571, "title": "Picture number in each patients", "comment_count": 6, "views": 0, "votes": null }, { "id": 174848, "title": "Discrepancy between sample_submission and Aim mentioned in Data Description.", "comment_count": 2, "views": 0, "votes": -1 }, { "id": 173464, "title": "Negative weeks", "comment_count": 4, "views": 0, "votes": null }, { "id": 165228, "title": "Submission CSV Not Found", "comment_count": 7, "views": 0, "votes": 15 }, { "id": 167229, "title": "Negative Value of weeks", "comment_count": 5, "views": 0, "votes": 4 }, { "id": 174545, "title": "Novice question about test set", "comment_count": 2, "views": 0, "votes": null }, { "id": 174716, "title": "What's the difference between pydicom.dcmread and pydicom.read_file?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 165253, "title": "Basic understanding of Interstitial Lung Disease", "comment_count": 11, "views": 0, "votes": 59 }, { "id": 174512, "title": "Crazy Fast Dicom Loading", "comment_count": 2, "views": 0, "votes": -1 }, { "id": 171679, "title": "Playbook works in testing but fails at submission", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 174385, "title": "Why is GDCM needed to load certain CT scans?", "comment_count": 1, "views": 0, "votes": null }, { "id": 166317, "title": "Is there any way to get information on why a submission failed? (Subission Scoring Error)", "comment_count": 14, "views": 0, "votes": 6 }, { "id": 173333, "title": "Helpful resources", "comment_count": 3, "views": 0, "votes": null }, { "id": 172373, "title": "rapids question", "comment_count": 7, "views": 0, "votes": 9 }, { "id": 173890, "title": "Minimal number of CT scans per patient", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 164925, "title": "What does it mean by multiple dcm images for a single patient?", "comment_count": 7, "views": 0, "votes": 13 }, { "id": 168610, "title": "Some Tips to get cv and lb correlation", "comment_count": 19, "views": 0, "votes": 41 }, { "id": 171401, "title": "Negative weeks in the FVC measurements", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 173849, "title": "Patient IDs in Test.csv and Train.csv", "comment_count": 3, "views": 0, "votes": null }, { "id": 171940, "title": "Lung function decline", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 173836, "title": "Category Encoding", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 170328, "title": "Some confusion about percent", "comment_count": 6, "views": 0, "votes": 5 }, { "id": 173403, "title": "Simplified pytorch starter notebook ", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 170724, "title": "AutoEncoder training to learn latent features from the 3D CT scans dataset", "comment_count": 5, "views": 0, "votes": 10 }, { "id": 173139, "title": "Multiple-input models (again?)", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 171822, "title": "How to deal with varying channel(images) length for each patient for a CNN", "comment_count": 7, "views": 0, "votes": 3 }, { "id": 173015, "title": "Has anyone managed to build a dataset using tf.data API?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 171919, "title": "How many patients are there in public/private datasets?", "comment_count": 9, "views": 0, "votes": 8 }, { "id": 173264, "title": "Code requirements - Question", "comment_count": 1, "views": 0, "votes": null }, { "id": 170124, "title": "The missing Weeks in the Dataset", "comment_count": 1, "views": 0, "votes": null }, { "id": 172429, "title": "Why number of weeks is less than total number of ct scan?", "comment_count": 3, "views": 0, "votes": -2 }, { "id": 171644, "title": "Submission error log", "comment_count": 10, "views": 0, "votes": 6 }, { "id": 172022, "title": "All about FVC - Spirometry Test", "comment_count": 0, "views": 0, "votes": 10 }, { "id": 172387, "title": "How to combine decision trees with CNNs?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 171899, "title": "Normal values for FVC and Percent", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 164934, "title": "Pydicom Image Preprocessing Discussion", "comment_count": 7, "views": 0, "votes": 3 }, { "id": 171900, "title": "Are the CT Scans standardised?", "comment_count": 1, "views": 0, "votes": null }, { "id": 171480, "title": "Smoking Status and FVC", "comment_count": 3, "views": 0, "votes": 3 }, { "id": 168106, "title": "Can anyone plz summarize the feature extraction and modelling process without specifying the details?", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 172299, "title": "Anyone else having trouble getting scores for notebooks with external data? ", "comment_count": 6, "views": 0, "votes": 0 }, { "id": 172052, "title": "How are YOU evaluating model predicitons for weeks outside of training data?", "comment_count": 3, "views": 0, "votes": null }, { "id": 167918, "title": "What is metadata and how to use this in this competition?", "comment_count": 5, "views": 0, "votes": 4 }, { "id": 164859, "title": "Question Regarding TPU Usage", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 172464, "title": "What is a CT scan, exactly?", "comment_count": 0, "views": 0, "votes": 0 }, { "id": 168430, "title": "Image Size", "comment_count": 1, "views": 0, "votes": null }, { "id": 170048, "title": "Confidence Value", "comment_count": 4, "views": 0, "votes": 4 }, { "id": 170501, "title": "What is the \"leakage\" the data description is referring to?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 172493, "title": "Looking for Team Thread", "comment_count": 0, "views": 0, "votes": -4 }, { "id": 171699, "title": "QUANTILE REGRESSION", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 170680, "title": "Pixel Histogram as a Feature", "comment_count": 4, "views": 0, "votes": 4 }, { "id": 171475, "title": "Idea: Using slope instead of predicting direct FVC values?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 164930, "title": "Trouble understanding the test set", "comment_count": 23, "views": 0, "votes": 22 }, { "id": 171448, "title": "i wrote a helper function to load DICOM with tf datasets", "comment_count": 0, "views": 0, "votes": 5 }, { "id": 171686, "title": "Looking for Team", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 171498, "title": "Are pre-trained models allowed?", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 171166, "title": "Newbie", "comment_count": 5, "views": 0, "votes": 2 }, { "id": 171353, "title": "Doubts about \"Percent\" column ", "comment_count": 4, "views": 0, "votes": 2 }, { "id": 171762, "title": "Maximum FVC prediction weeks to provide?", "comment_count": 2, "views": 0, "votes": null }, { "id": 170995, "title": "Dicom image", "comment_count": 3, "views": 0, "votes": null }, { "id": 170180, "title": "OSIC-Properly Intended", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 165114, "title": "Data Set", "comment_count": 3, "views": 0, "votes": null }, { "id": 171023, "title": "How to view dicom images in the dataset in plain words", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 164966, "title": "Simple EDA", "comment_count": 5, "views": 0, "votes": 4 }, { "id": 164927, "title": "Baseline notebook (without DICOM)", "comment_count": 1, "views": 0, "votes": 18 }, { "id": 171354, "title": "Confusion understanding the data", "comment_count": 1, "views": 0, "votes": 1 }, { "id": 171098, "title": "Histogram features", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 170986, "title": "Distribution of last 3 FVC Readings", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 170972, "title": "Submission CSV Not Found", "comment_count": 1, "views": 0, "votes": null }, { "id": 169995, "title": "Did any one use CT scans?", "comment_count": 5, "views": 0, "votes": 5 }, { "id": 170504, "title": "The issue with lung masks", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 169144, "title": "Competing Imaging Techniques?", "comment_count": 2, "views": 0, "votes": 29 }, { "id": 169885, "title": "Plot metric", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 170031, "title": "Why there is no relation between DICOM image data and week of patient's visit?", "comment_count": 2, "views": 0, "votes": 3 }, { "id": 169370, "title": "Cannot submit my notebook", "comment_count": 27, "views": 0, "votes": 2 }, { "id": 170036, "title": "Question about data", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 170684, "title": "What is the relation between the SliceThickness and SliceLocation? Equal or not?", "comment_count": 1, "views": 0, "votes": null }, { "id": 168929, "title": "Model Ensembles and Confidence", "comment_count": 1, "views": 0, "votes": 4 }, { "id": 170669, "title": "Corrupted images", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 169913, "title": "Weeks meaning in tabular data", "comment_count": 2, "views": 0, "votes": 4 }, { "id": 169850, "title": "Evaluation doc is wrong?", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 170043, "title": "The Target Variable.", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 169385, "title": "A problem in train dataset", "comment_count": 2, "views": 0, "votes": 2 }, { "id": 169426, "title": "Notebook threw exception", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 166188, "title": "Looking for Team!", "comment_count": 6, "views": 0, "votes": null }, { "id": 169770, "title": "Best trips for object detection/segmentation", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 168385, "title": "Some Interesting papers using nn on chest CT scan.", "comment_count": 1, "views": 0, "votes": 14 }, { "id": 169694, "title": "alot of participant with the same exact score", "comment_count": 1, "views": 0, "votes": null }, { "id": 169207, "title": "Error when scoring: Notebook JSON is invalid: Additional properties are not allowed ('execution_count' was unexpected)", "comment_count": 3, "views": 0, "votes": 0 }, { "id": 169072, "title": "CTs are useless?", "comment_count": 2, "views": 0, "votes": 1 }, { "id": 168276, "title": "Submission Scoring Error", "comment_count": 2, "views": 0, "votes": 5 }, { "id": 169256, "title": "Tips and Tricks for this competition to new kagglers ?", "comment_count": 1, "views": 0, "votes": null }, { "id": 169242, "title": "New here on Kaggle...general Query", "comment_count": 2, "views": 0, "votes": null }, { "id": 167696, "title": "How to handle such large datasets?", "comment_count": 11, "views": 0, "votes": 5 }, { "id": 168301, "title": "How to use DICOMS files for training our models", "comment_count": 6, "views": 0, "votes": 1 }, { "id": 167499, "title": "Which is the best cross validation technique for this problem?", "comment_count": 7, "views": 0, "votes": 4 }, { "id": 168407, "title": "Meaning of Percent Column", "comment_count": 1, "views": 0, "votes": 2 }, { "id": 168206, "title": "How do you read dcm files?", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 167775, "title": "'your notebook cannot use internet access in this competition' message", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 168484, "title": "reading train CT scans", "comment_count": 2, "views": 0, "votes": null }, { "id": 168063, "title": "Found a Patient with Two FVC Readings", "comment_count": 4, "views": 0, "votes": null }, { "id": 165095, "title": "Can I train the model locally and upload weights to notebook?", "comment_count": 4, "views": 0, "votes": 1 }, { "id": 166182, "title": "Understanding DICOMS", "comment_count": 10, "views": 0, "votes": 12 }, { "id": 167507, "title": "Only one FVC reading for all test values?", "comment_count": 6, "views": 0, "votes": 3 }, { "id": 167200, "title": "Why different number of DICOM files?", "comment_count": 3, "views": 0, "votes": 4 }, { "id": 166991, "title": "The leaderboard now shows 4 decimal places", "comment_count": 0, "views": 0, "votes": 11 }, { "id": 167410, "title": "Test.csv", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 164933, "title": "Pydicom useful Resources ", "comment_count": 1, "views": 0, "votes": 5 }, { "id": 167318, "title": "Dicom Image feature extraction", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 167560, "title": "When was this dcm image taken?", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 166748, "title": "Lung Mask Dataset", "comment_count": 0, "views": 0, "votes": 16 }, { "id": 167727, "title": "The code notebook can be written in R instead of Python?", "comment_count": 4, "views": 0, "votes": null }, { "id": 167273, "title": " Explanation about Laplace log scoring metric??", "comment_count": 0, "views": 0, "votes": 3 }, { "id": 164936, "title": "Confused about Predicting Confidence Measure", "comment_count": 3, "views": 0, "votes": 9 }, { "id": 167258, "title": "About Different Depth of CT images(No. of slices) ", "comment_count": 8, "views": 0, "votes": 0 }, { "id": 164870, "title": "List of similar competitions (using DICOM data) from the past", "comment_count": 3, "views": 0, "votes": 66 }, { "id": 166257, "title": "Submission Patient_week", "comment_count": 1, "views": 0, "votes": 12 }, { "id": 167160, "title": "How to apply colormaps to gray images? (saving the color in the image)", "comment_count": 3, "views": 0, "votes": 1 }, { "id": 166119, "title": "Does pydicom close the image files it opens?", "comment_count": 2, "views": 0, "votes": null }, { "id": 167434, "title": "weeks and FVC", "comment_count": 1, "views": 0, "votes": -2 }, { "id": 164958, "title": "dicom to jpg (full dataset)", "comment_count": 5, "views": 0, "votes": 14 }, { "id": 165096, "title": "[Idea] Encoder-decoder with transformers (ct in, time series out) would be interesting", "comment_count": 1, "views": 0, "votes": 21 }, { "id": 167086, "title": "Ram got crashed. ", "comment_count": 5, "views": 0, "votes": 1 }, { "id": 166439, "title": "preprocessed dataset with images scaled and metadata serapated", "comment_count": 3, "views": 0, "votes": 2 }, { "id": 165044, "title": "Data quality control?", "comment_count": 4, "views": 0, "votes": 10 }, { "id": 164953, "title": "free copy for a limited time Deep Learning with PyTorch", "comment_count": 1, "views": 0, "votes": -2 }, { "id": 164837, "title": "This leaderboard is calculated with approximately 1% of the test data.", "comment_count": 13, "views": 0, "votes": 18 }, { "id": 164941, "title": "Corrupt files ?", "comment_count": 5, "views": 0, "votes": 3 }, { "id": 164872, "title": "where to find images ?", "comment_count": 4, "views": 0, "votes": 10 }, { "id": 164849, "title": "Can we use CSV data as input?", "comment_count": 6, "views": 0, "votes": 3 }, { "id": 165013, "title": "Importing local video files inside kernel", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 164973, "title": "Normalize Pixel Spacing??", "comment_count": 0, "views": 0, "votes": 1 }, { "id": 164972, "title": "Normalize Pixel Positions ???", "comment_count": 0, "views": 0, "votes": 0 } ], "errors": [] }