{
  "total": 232,
  "topics": [
    {
      "id": 475554,
      "title": "Recap of Competition - Congratulations to the Winners!",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 460833,
      "title": "Important Information about the Hidden (Test) Datasets",
      "comment_count": 11,
      "views": 0,
      "votes": 43
    },
    {
      "id": 457187,
      "title": "Pre-Print with lots of info on the training data and deep learning approaches to segmentation ",
      "comment_count": 9,
      "views": 0,
      "votes": 38
    },
    {
      "id": 453790,
      "title": "This Competition has an Official Discord Channel",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 452809,
      "title": "Welcome to the SenNet + HOA - Hacking the Human Vasculature in 3D Competition!",
      "comment_count": 4,
      "views": 0,
      "votes": 17
    },
    {
      "id": 735113,
      "title": "Results are now published in Nature Communications",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 475052,
      "title": "4th place solution. Boundary DoU Loss is all you need!",
      "comment_count": 35,
      "views": 0,
      "votes": 68
    },
    {
      "id": 475522,
      "title": "1st Place Solution (code updated)",
      "comment_count": 31,
      "views": 0,
      "votes": 100
    },
    {
      "id": 470612,
      "title": "What does \"Sparsely segmented (about 85%)\" really mean?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 456033,
      "title": "Solving a lot of the Submission Scoring Errors",
      "comment_count": 14,
      "views": 0,
      "votes": 30
    },
    {
      "id": 465273,
      "title": "Trouble with Keras_CV",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 480452,
      "title": "What is Wrong with Private Data ?",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 475432,
      "title": "0.043 to 0.755 : Amazing jump of 1052 places to 2nd place ",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 478109,
      "title": "41st place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 478562,
      "title": " Post Competition 2D to 3D UNet with cc3d for Private LB 0.611960",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 475657,
      "title": "2nd place solution",
      "comment_count": 12,
      "views": 0,
      "votes": 33
    },
    {
      "id": 475074,
      "title": "[3rd Place solution] Refine from Sparse to Dense",
      "comment_count": 19,
      "views": 0,
      "votes": 69
    },
    {
      "id": 475964,
      "title": "7th solution",
      "comment_count": 0,
      "views": 0,
      "votes": 16
    },
    {
      "id": 476457,
      "title": "12st Place Solution for the  SenNet + HOA - Hacking the Human Vasculature in 3D",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 475252,
      "title": "6th place solution: Luck is All You Need",
      "comment_count": 10,
      "views": 0,
      "votes": 28
    },
    {
      "id": 475080,
      "title": "9th Place Solution",
      "comment_count": 9,
      "views": 0,
      "votes": 30
    },
    {
      "id": 475288,
      "title": "5th place solution - 3D interpolation is all you need (updated with code)",
      "comment_count": 10,
      "views": 0,
      "votes": 26
    },
    {
      "id": 475588,
      "title": "[2nd Public/90th Private] Solution for the SenNet + HOA - Hacking the Human Vasculature in 3D",
      "comment_count": 4,
      "views": 0,
      "votes": 13
    },
    {
      "id": 475057,
      "title": "Visualizing the churn",
      "comment_count": 2,
      "views": 0,
      "votes": 28
    },
    {
      "id": 475053,
      "title": "20th to 1000th+ Place =)",
      "comment_count": 15,
      "views": 0,
      "votes": 28
    },
    {
      "id": 473460,
      "title": "What I learned in Sennet competition",
      "comment_count": 12,
      "views": 0,
      "votes": 15
    },
    {
      "id": 475702,
      "title": " Congratulations to new Kaggle Competitions GM",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 475136,
      "title": "Inference Retraining Trick Boosted Private Score: 0.565 to 0.680 (Ranked 7th in Private LB)",
      "comment_count": 13,
      "views": 0,
      "votes": 13
    },
    {
      "id": 475260,
      "title": "14th Place Solution",
      "comment_count": 4,
      "views": 0,
      "votes": 17
    },
    {
      "id": 476275,
      "title": "Publishing a paper ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 472546,
      "title": "SenNet + HOA: Meme Thread",
      "comment_count": 6,
      "views": 0,
      "votes": 9
    },
    {
      "id": 475100,
      "title": "8th place solution. Won the first gold medal after five years.",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 475564,
      "title": "What CPU/GPU/MEM workstation did you use for training?",
      "comment_count": 13,
      "views": 0,
      "votes": 3
    },
    {
      "id": 475050,
      "title": "Rank 46 Solution - keep the CV discipline",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 475090,
      "title": "🥈24th Place Solution(A potential solution for achieving private 0.70)",
      "comment_count": 0,
      "views": 0,
      "votes": 19
    },
    {
      "id": 475117,
      "title": "13th place solution: 4-panel solo model",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 475328,
      "title": "Correct threshold is all you need🤯",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 475555,
      "title": "302th place solution - Ensemble of three models ",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 475232,
      "title": "How did you guys get such a good public Score ?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 475337,
      "title": "2024 paper automate the annotation task of 3d vasculature",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 475126,
      "title": "did we get tricked? the voi is the key",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 475047,
      "title": "Mildly unexpected shift!",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 473780,
      "title": "demo app (e.g. Gradio) on kaggle notebook?",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 475068,
      "title": "Apple’s Vision Pro and Hip CT",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 472762,
      "title": "[0.891 !!] resnet50 is all you need in public lb, but what will happen in private?",
      "comment_count": 31,
      "views": 0,
      "votes": 18
    },
    {
      "id": 475311,
      "title": "93rd Place Solution for the SenNet + HOA - Hacking the Human Vasculature in 3D",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 475234,
      "title": "110th Place,  Did Not Work: Splitting Thin/Thick Vessels Approach",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 473126,
      "title": "Learning Recap",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 473264,
      "title": "Notebook Threw Exception",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 473024,
      "title": "Submission scoring error",
      "comment_count": 13,
      "views": 0,
      "votes": 1
    },
    {
      "id": 475266,
      "title": "Predicted mask seems not too bad but the score is very low, why?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 475004,
      "title": "Please Help!",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 473698,
      "title": "[HELP] SOME QUESTIONS ABOUT PRIVATE DATA",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 475054,
      "title": "TOP 17% Solution: 3D rotate augmentation works",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 475201,
      "title": "Has anyone tried mask based augmentation?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 475169,
      "title": "320 to 88th rank  would have reached Rank 22",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 473645,
      "title": "Is not possible to submit a GPU inference code without GPU quota remaining?",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 475060,
      "title": "132th Solution: 2D UNet with p1-p99 normalization",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 475056,
      "title": "[0.559]Here is my UNet++ solution , Which 0.831 in public and 0.559 in private. less overfit",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 475030,
      "title": "last 2 hours",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 472209,
      "title": "is it reasonable that surface_dice(random predict, random truth)=0.98?",
      "comment_count": 15,
      "views": 0,
      "votes": 12
    },
    {
      "id": 472212,
      "title": "My optimal CV threshold is close to 0.5, yet my public LB optimal threshold is 0.05",
      "comment_count": 13,
      "views": 0,
      "votes": 10
    },
    {
      "id": 473277,
      "title": "[HELP] Inference/Submission time is very strange ",
      "comment_count": 19,
      "views": 0,
      "votes": 1
    },
    {
      "id": 473268,
      "title": "Weird behavior of GPU T4 x 2 (environment problem ?)",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 472916,
      "title": "the '900' magic ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 472089,
      "title": "Careful with Submission Selection",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 473097,
      "title": "https://human-organ-atlas.esrf.eu/ kidneys",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 460804,
      "title": "SMP with timm backbone",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 472033,
      "title": "Does efficientnet + unet + Diceloss work well? ",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 469046,
      "title": "Some questions about the codes in public notebooks",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 472117,
      "title": "Error in RLE processing",
      "comment_count": 10,
      "views": 0,
      "votes": 0
    },
    {
      "id": 468525,
      "title": "How to reduce shake-up, has anyone found a correlation between CV and LB? Here are some my results",
      "comment_count": 22,
      "views": 0,
      "votes": 22
    },
    {
      "id": 471642,
      "title": "Rotation and zoom augmentation",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 471808,
      "title": "Mask size impact on RLE",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 471055,
      "title": "A bug that could lead to 0 score in lb",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 471619,
      "title": "Taking only kidney_1_dense dataset",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 471613,
      "title": "Struggling with very strange submission scoring error. Anyone has any hint?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 470374,
      "title": "Are there any risks in using the 2.5d method when testing in private public test?",
      "comment_count": 16,
      "views": 0,
      "votes": 0
    },
    {
      "id": 469749,
      "title": "CV vs. LB updated",
      "comment_count": 11,
      "views": 0,
      "votes": 7
    },
    {
      "id": 470498,
      "title": "segmentation_models_pytorch/mmsegmentation/pytorch-3dunet, what framework are you using?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 470919,
      "title": "The sparsity of public test dataset？",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 470655,
      "title": "Threshold choice ",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 470726,
      "title": "Output datasets are automatically updated on new commits?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 470950,
      "title": "Your expentations about the private score",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 467459,
      "title": "Anybody checks masks labelling quality? It is good or bad?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 469022,
      "title": "Normalization, please stop it.",
      "comment_count": 17,
      "views": 0,
      "votes": 17
    },
    {
      "id": 470385,
      "title": "Pretrained vs Train From Scratch",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 468569,
      "title": "Leaderboard Score 0.89 ?",
      "comment_count": 1,
      "views": 0,
      "votes": -2
    },
    {
      "id": 469794,
      "title": "questions about 2.5d and axis(XY+XZ+YZ)",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 470117,
      "title": "can I use SAM in this competition?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 468399,
      "title": "discrepancy betwwen annotation for kidney1 dense and kidney1 voi?",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 468826,
      "title": "Annotation sparsity ... does it matter?",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 469743,
      "title": "Submission scoring error",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 468175,
      "title": "Possible 2D Approaches?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 466403,
      "title": "3D UNETR score is strangely low! Any help with debugging?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 468437,
      "title": "On the nature of training with different size non-square images, and why you want to stick to the square ones",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 467445,
      "title": "Why data of kidney 2/3 doesn't help?",
      "comment_count": 16,
      "views": 0,
      "votes": 6
    },
    {
      "id": 469311,
      "title": "Description of kidney_3_dense says 500 layers but there are 501 label files",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 468011,
      "title": "my nnUNet always get 0.0000???",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 467553,
      "title": "Talk from the author of the recent MaxVit-Unet paper",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 468776,
      "title": "Unable to fix scoring error",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 461213,
      "title": "anyone has good results with 3d segmentation net?",
      "comment_count": 44,
      "views": 0,
      "votes": 26
    },
    {
      "id": 468436,
      "title": "Submission Score Error",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 467100,
      "title": "All submitions get submition scoring error",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 468610,
      "title": "submission error",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 468319,
      "title": "Model performing well on validation (`kidney_3_dense`) while failing miserably on the public test set",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 456118,
      "title": "[lb0.870 !!!] experiment results, hopefully open gold solution till 21-jan-2024",
      "comment_count": 215,
      "views": 0,
      "votes": 122
    },
    {
      "id": 467813,
      "title": "now overtime cancelled notebook not saving output?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 464768,
      "title": "A Video to Simply Explain the LB0.847 Model (for SenNet Novices, but Not Segmentation Novices)",
      "comment_count": 10,
      "views": 0,
      "votes": 55
    },
    {
      "id": 466551,
      "title": "Trouble with Submission Scoring Errors: Testing the Scoring System",
      "comment_count": 14,
      "views": 0,
      "votes": 5
    },
    {
      "id": 466046,
      "title": "rle_decode vs cv2.imread vs tifffile.imread ",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 465884,
      "title": "WIll there be Shakeup?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 465834,
      "title": "Converting output to originial size",
      "comment_count": 10,
      "views": 0,
      "votes": 0
    },
    {
      "id": 466628,
      "title": "BUG on \"Team Mergering and Submission Count\" on rule description page????",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 467554,
      "title": "Kaggle Discussion",
      "comment_count": 0,
      "views": 0,
      "votes": -9
    },
    {
      "id": 466921,
      "title": "Labels missing from dense datasets?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 466886,
      "title": "Does SAM-Med3D have the potential to be used in this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 466407,
      "title": "Finished. Webinar about SenNet competition on Telegram ",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 465659,
      "title": "How to determine thresholds？",
      "comment_count": 7,
      "views": 0,
      "votes": 10
    },
    {
      "id": 466683,
      "title": "Resolving external dependencies",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 466523,
      "title": "About Notebook Threw Exception",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 466059,
      "title": "scoring error",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 466061,
      "title": "please tell me about the methods for image standardization/normalization of training 6",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 464287,
      "title": "submission scoring error.",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 465463,
      "title": "What does 'Sparsely segmented (about 65%)' mean?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 464730,
      "title": "Question about you guys' motivation ",
      "comment_count": 17,
      "views": 0,
      "votes": 6
    },
    {
      "id": 457179,
      "title": "Waht is the use of voi data at 5.2um resolution?",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 465764,
      "title": "Unable to submit predictions",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 465824,
      "title": "test data filename - numbers? continous?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 465548,
      "title": "GPU　training not working?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 465638,
      "title": "Negative loss function?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 465772,
      "title": "0.0000 submission score",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 463811,
      "title": "Scoring time",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 465293,
      "title": "Waiting for the next available notebook. Your position in the queue is 604.",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 465327,
      "title": "Keras 3.0 with GPU support?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 465303,
      "title": "LB score 24 epoch. ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 464411,
      "title": "Correlation between in_channels and score?",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 456761,
      "title": "Fixing the metric computation code",
      "comment_count": 44,
      "views": 0,
      "votes": 19
    },
    {
      "id": 464891,
      "title": "about scoring",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 463372,
      "title": "Why do we analyze inaccurate images using CS, rather than reconstruct accurate images using CS?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 455220,
      "title": "Submission Failures",
      "comment_count": 40,
      "views": 0,
      "votes": 13
    },
    {
      "id": 464642,
      "title": "getting poor score 0.0",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 464500,
      "title": "Resizing the inference masks back to original scale without LB score loss?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 464755,
      "title": "anyone with any luck on OneCycleLR?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 464445,
      "title": "Can I only submit the inference code?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 464111,
      "title": "getting past the 0.00[x] phase ",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 464104,
      "title": "For anyone who is getting a score of 0/scoring error",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 463121,
      "title": "The issue with the albumentations library",
      "comment_count": 16,
      "views": 0,
      "votes": 9
    },
    {
      "id": 463637,
      "title": "The difference between kidney 3 sparse and dense labels is very small.",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 457702,
      "title": "OOM scoring error ... you probably have some misunderstanding",
      "comment_count": 17,
      "views": 0,
      "votes": 22
    },
    {
      "id": 462144,
      "title": "A submission score of 0.0",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 456254,
      "title": "Surface Dice Metric: NaN for empty ground truth???",
      "comment_count": 6,
      "views": 0,
      "votes": 10
    },
    {
      "id": 463368,
      "title": "Who use an algorithm and not use a model?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 463723,
      "title": "Where to start",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 463578,
      "title": "The dreaded scoring error is back!",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 463651,
      "title": "Issue with imgaug",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 463224,
      "title": "Help with \"scoring error\"",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 463291,
      "title": "Unable to run custom model in public notebook",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 458256,
      "title": "so far there is no working public baseline with acceptable LB score?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 462651,
      "title": "Save up inference time predicting only private data",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 458170,
      "title": "Need Help in Troubleshooting",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 462054,
      "title": "New to this competition",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 462737,
      "title": "Assistance needed: Submission CSV not found",
      "comment_count": 10,
      "views": 0,
      "votes": null
    },
    {
      "id": 461920,
      "title": "Powerful visualization tools",
      "comment_count": 0,
      "views": 0,
      "votes": 20
    },
    {
      "id": 461279,
      "title": "Rise 'Notebook Threw Exception'",
      "comment_count": 27,
      "views": 0,
      "votes": 1
    },
    {
      "id": 461879,
      "title": "Is the surface dice metric calculated in 3d mode?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 461041,
      "title": "Right choice of metric?",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 461738,
      "title": "A question about HiP-CT",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 460747,
      "title": "Visualizing the training datasets in 3D",
      "comment_count": 5,
      "views": 0,
      "votes": 21
    },
    {
      "id": 453794,
      "title": "Past similar competitions top(50) solutions write-up (link)",
      "comment_count": 5,
      "views": 0,
      "votes": 32
    },
    {
      "id": 461892,
      "title": "Sharing Multi GPU Inference Script (3D with 2D masking)",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 460306,
      "title": "New to competitions. Where should I start?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 453803,
      "title": "Starting materials and references",
      "comment_count": 7,
      "views": 0,
      "votes": 58
    },
    {
      "id": 460475,
      "title": "Resolution is 3-D symmetrical?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 454799,
      "title": "You know something fishy is going on with the submission if...",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 460967,
      "title": "Spacing information",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 459969,
      "title": "Besides the OOM problem, are there other problems that result in a SCORING ERROR if it takes 30 minutes for scoring?",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 459844,
      "title": "Sparse & Dense segmentations? Clarification 😅",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 456714,
      "title": "CV vs public LB",
      "comment_count": 25,
      "views": 0,
      "votes": 11
    },
    {
      "id": 460454,
      "title": "why kidney_3_dense train data only labels,without images?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 459470,
      "title": "Question about rle",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 459836,
      "title": "Submission Scoring Error",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 453831,
      "title": "Run-Length Encode and Decode (RLE utility script)",
      "comment_count": 7,
      "views": 0,
      "votes": 37
    },
    {
      "id": 458763,
      "title": "Kidney 3: sparse vs dense",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 459206,
      "title": "Help, getting this error when using the surface dice metric locally and results in a nan score",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 456787,
      "title": "[LB 0.726] Experimental Configuration and Results",
      "comment_count": 8,
      "views": 0,
      "votes": 40
    },
    {
      "id": 457693,
      "title": "Do models have to be trained within the Notebook execution?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 453879,
      "title": "🔮💥🤖Nice Resources for 3D Visualization - Kaggle Notebooks🔥🏆📚",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 458877,
      "title": "Trying to understand code only submission guideline",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 458778,
      "title": "Test data - does it include adjacent slices or are the images all to be evaluated in isolation?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 456414,
      "title": "Are the images in the test set continuous for each scan?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 458682,
      "title": "PyTorch Dataset with Volumetric Augmentations",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 456596,
      "title": "Full testing set. 3D or 2D?",
      "comment_count": 13,
      "views": 0,
      "votes": 4
    },
    {
      "id": 456269,
      "title": "Segmentation covers just a small percentage of the entire slice.",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 457332,
      "title": "Why is the beamline and resolution of test data not available?",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 458038,
      "title": "Library imports without internet access?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 458099,
      "title": "sizing issue in label image",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 456124,
      "title": "how is the ground truth prepared?",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 456288,
      "title": "One possible approach to address a score of 0",
      "comment_count": 5,
      "views": 0,
      "votes": 17
    },
    {
      "id": 457461,
      "title": "Is test set also scanned along z-axis",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 456982,
      "title": "I have two questions？",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 456763,
      "title": "Assistance Needed: Unraveling the Mystery Behind a 0.0 Score",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 454934,
      "title": "Looking for a teammate.",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 457124,
      "title": "about image size",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 453881,
      "title": "Starter Codes for UNet, SegNet, and Attention UNet",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 456416,
      "title": "Creating more Ground Truths by Slicing XZ and ZY",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 455787,
      "title": "Some inquiries regarding result submission",
      "comment_count": 11,
      "views": 0,
      "votes": 7
    },
    {
      "id": 456126,
      "title": "Begineer question about the actual test files, folder and format",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 455716,
      "title": "Will the test set have a significant third dimension, gaps?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 455894,
      "title": "Latest on Submission Issue",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 455001,
      "title": "The problem with submissions failing",
      "comment_count": 13,
      "views": 0,
      "votes": 16
    },
    {
      "id": 456047,
      "title": "Feasibility of 3D architecture?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 456224,
      "title": "kidney5==kidney6 ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 453958,
      "title": "Surface DSC (Dice Similarity Coefficient)",
      "comment_count": 1,
      "views": 0,
      "votes": 33
    },
    {
      "id": 454863,
      "title": "Are kideny_5 and kideny_6 densely or sparsely annotated?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 455899,
      "title": "Evaluating Segmentation Performance in Deep Learning: Metrics and Code",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 455062,
      "title": "Could the Implementation of the Surface-Dice Metric lead to the Submission Problem?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 455745,
      "title": "Getting scoring error on the same notebook which worked yesteday",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 454732,
      "title": "A couple of questions on the submission format",
      "comment_count": 9,
      "views": 0,
      "votes": 11
    },
    {
      "id": 455008,
      "title": "[Updated] Competition Scoring Problem ? [Investigation]",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 454353,
      "title": "Basic questions about resolution and sparsely segmentation",
      "comment_count": 2,
      "views": 0,
      "votes": 24
    },
    {
      "id": 454105,
      "title": "About image 'depth'",
      "comment_count": 3,
      "views": 0,
      "votes": 15
    },
    {
      "id": 455187,
      "title": "Re-label question",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 454850,
      "title": "The ids in the sample submission do not match the provided test images.",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 453875,
      "title": "No images folder in the kidney_3_dense",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 453986,
      "title": "PNG dataset 40G -> 6G",
      "comment_count": 3,
      "views": 0,
      "votes": 29
    },
    {
      "id": 455044,
      "title": "Looking for a team!",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 454760,
      "title": "Newbie that would like to join a team.  No credit or prize sharing",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 454065,
      "title": "RLE in CSV vs labels",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 454227,
      "title": "img file pixel value",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 454220,
      "title": "Labeling issue",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 454171,
      "title": "Error while downloading dataset with Kaggle CLI",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    }
  ],
  "errors": []
}