{
  "id": 269463,
  "title": "Preprocessed data dicom -> png (512,224) with meta data  📌",
  "url": "/competitions/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/269463",
  "author_name": "Srikanth Machiraju",
  "post_date": "2021-08-31T18:57:51.882000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I created a dataset and made it public feel free to go ahead and use it. <br>\nThe train_data.csv file contains some metadata on # of files per patient and scan type. </p>\n<p>512 * 512 -&gt; <a href=\"https://www.kaggle.com/srikanthmachiraju/rsnamiccaibraintumorradiogenomic512png\" target=\"_blank\">https://www.kaggle.com/srikanthmachiraju/rsnamiccaibraintumorradiogenomic512png</a></p>\n<p>224 * 224 -&gt;<br>\n**📌📌 IMPORTANT📌📌 ** - This notebook removes blank (black) images, which do not add any value to the processing. The train.csv datasheet contains the list of files as per the original dataset.<br>\n<a href=\"https://www.kaggle.com/srikanthmachiraju/rsnamiccaibraintumorradiogenomic224png\" target=\"_blank\">https://www.kaggle.com/srikanthmachiraju/rsnamiccaibraintumorradiogenomic224png</a></p>\n<p>the notebook is published here: <a href=\"https://www.kaggle.com/srikanthmachiraju/predict-genetic-biomarker-in-brain-tumor-eda\" target=\"_blank\">https://www.kaggle.com/srikanthmachiraju/predict-genetic-biomarker-in-brain-tumor-eda</a></p>",
  "messages": [
    {
      "id": 1498215,
      "postDate": "2021-08-31T18:57:51.883Z",
      "content": "<p>I created a dataset and made it public feel free to go ahead and use it. <br>\nThe train_data.csv file contains some metadata on # of files per patient and scan type. </p>\n<p>512 * 512 -&gt; <a href=\"https://www.kaggle.com/srikanthmachiraju/rsnamiccaibraintumorradiogenomic512png\" target=\"_blank\">https://www.kaggle.com/srikanthmachiraju/rsnamiccaibraintumorradiogenomic512png</a></p>\n<p>224 * 224 -&gt;<br>\n**📌📌 IMPORTANT📌📌 ** - This notebook removes blank (black) images, which do not add any value to the processing. The train.csv datasheet contains the list of files as per the original dataset.<br>\n<a href=\"https://www.kaggle.com/srikanthmachiraju/rsnamiccaibraintumorradiogenomic224png\" target=\"_blank\">https://www.kaggle.com/srikanthmachiraju/rsnamiccaibraintumorradiogenomic224png</a></p>\n<p>the notebook is published here: <a href=\"https://www.kaggle.com/srikanthmachiraju/predict-genetic-biomarker-in-brain-tumor-eda\" target=\"_blank\">https://www.kaggle.com/srikanthmachiraju/predict-genetic-biomarker-in-brain-tumor-eda</a></p>",
      "rawMarkdown": "I created a dataset and made it public feel free to go ahead and use it. \nThe train_data.csv file contains some metadata on # of files per patient and scan type. \n\n512 * 512 -> https://www.kaggle.com/srikanthmachiraju/rsnamiccaibraintumorradiogenomic512png\n\n224 * 224 ->\n**📌📌 IMPORTANT📌📌 ** - This notebook removes blank (black) images, which do not add any value to the processing. The train.csv datasheet contains the list of files as per the original dataset.\nhttps://www.kaggle.com/srikanthmachiraju/rsnamiccaibraintumorradiogenomic224png\n\nthe notebook is published here: https://www.kaggle.com/srikanthmachiraju/predict-genetic-biomarker-in-brain-tumor-eda",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1498215": "I created a dataset and made it public feel free to go ahead and use it. \nThe train_data.csv file contains some metadata on # of files per patient and scan type. \n\n512 * 512 -> https://www.kaggle.com/srikanthmachiraju/rsnamiccaibraintumorradiogenomic512png\n\n224 * 224 ->\n**📌📌 IMPORTANT📌📌 ** - This notebook removes blank (black) images, which do not add any value to the processing. The train.csv datasheet contains the list of files as per the original dataset.\nhttps://www.kaggle.com/srikanthmachiraju/rsnamiccaibraintumorradiogenomic224png\n\nthe notebook is published here: https://www.kaggle.com/srikanthmachiraju/predict-genetic-biomarker-in-brain-tumor-eda"
  }
}