{
  "id": 185532,
  "title": "Can Someone Please Explain What is a Difference Between Study and Image Level ?",
  "url": "/competitions/rsna-str-pulmonary-embolism-detection/discussion/185532",
  "author_name": "Athar Sayed",
  "post_date": "2020-09-21T08:07:24.038000",
  "votes": 3,
  "comment_count": 1,
  "views": 0,
  "content": "<p>As I am new to this type of competitions , I need to understand what is difference between study level and image level , Based on what I observe in this Dataset , For a Given  We can have multiple  which in turn can have multiple images i.e. for  we can have multiple .<br>\nCan Someone please give me an idea of how will this idea be incorporated in training a Machine Learning / Deep Learning Model . Does this imply we have to train Separate models at both study and Image Level!</p>",
  "messages": [
    {
      "id": 1020517,
      "postDate": "2020-09-21T08:07:24.040Z",
      "content": "<p>As I am new to this type of competitions , I need to understand what is difference between study level and image level , Based on what I observe in this Dataset , For a Given  We can have multiple  which in turn can have multiple images i.e. for  we can have multiple .<br>\nCan Someone please give me an idea of how will this idea be incorporated in training a Machine Learning / Deep Learning Model . Does this imply we have to train Separate models at both study and Image Level!</p>",
      "rawMarkdown": "As I am new to this type of competitions , I need to understand what is difference between study level and image level , Based on what I observe in this Dataset , For a Given <StudyInstanceUID> We can have multiple <SeriesInstanceUID> which in turn can have multiple images i.e. for <SeriesInstanceUID> we can have multiple <SOPInstanceUID>.\nCan Someone please give me an idea of how will this idea be incorporated in training a Machine Learning / Deep Learning Model . Does this imply we have to train Separate models at both study and Image Level!",
      "votes": 2
    },
    {
      "id": 1021322,
      "postDate": "2020-09-21T18:56:12.537Z",
      "content": "<p>This one here explains quite well what's happening: <a href=\"https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/185187\" target=\"_blank\">https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/185187</a></p>",
      "rawMarkdown": "This one here explains quite well what's happening: https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/185187",
      "votes": 1
    }
  ],
  "comments": [
    {
      "id": 1021322,
      "author_name": "Andrada",
      "author_url": "",
      "post_date": "2020-09-21T18:56:12.537000",
      "content": "<p>This one here explains quite well what's happening: <a href=\"https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/185187\" target=\"_blank\">https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/185187</a></p>",
      "votes": 1,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1020517": "As I am new to this type of competitions , I need to understand what is difference between study level and image level , Based on what I observe in this Dataset , For a Given <StudyInstanceUID> We can have multiple <SeriesInstanceUID> which in turn can have multiple images i.e. for <SeriesInstanceUID> we can have multiple <SOPInstanceUID>.\nCan Someone please give me an idea of how will this idea be incorporated in training a Machine Learning / Deep Learning Model . Does this imply we have to train Separate models at both study and Image Level!",
    "1021322": "This one here explains quite well what's happening: https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/185187"
  }
}