{
  "id": 349092,
  "title": "Where does the center_id correspond to the picture?",
  "url": "/competitions/mayo-clinic-strip-ai/discussion/349092",
  "author_name": "Sheldom",
  "post_date": "2022-08-31T08:24:26.730000",
  "votes": 0,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Where does the center_id correspond to the picture? Is it to divide the picture into 16 boxes and select the center_id box in order ?</p>",
  "messages": [
    {
      "id": 1920773,
      "postDate": "2022-08-31T11:54:40.337Z",
      "content": "<p>train.csv Contains annotations for images in the train/ folder.<br>\nimage_id - A unique identifier for this instance having the form {patient_id}_{image_num}. Corresponds to the image {image_id}.tif.<br>\ncenter_id - Identifies the medical center where the slide was obtained.<br>\npatient_id - Identifies the patient from whom the slide was obtained.<br>\nimage_num - Enumerates images of clots obtained from the same patient.<br>\nlabel - The etiology of the clot, either CE or LAA. This field is the classification target.</p>",
      "rawMarkdown": "train.csv Contains annotations for images in the train/ folder.\nimage_id - A unique identifier for this instance having the form {patient_id}_{image_num}. Corresponds to the image {image_id}.tif.\ncenter_id - Identifies the medical center where the slide was obtained.\npatient_id - Identifies the patient from whom the slide was obtained.\nimage_num - Enumerates images of clots obtained from the same patient.\nlabel - The etiology of the clot, either CE or LAA. This field is the classification target.",
      "votes": 1,
      "replies": [
        {
          "id": 1921961,
          "postDate": "2022-09-01T07:15:24.173Z",
          "content": "<p>Oh, thank u . I misunderstand. I thought center_id is the position of disease in the slide before. </p>\n<p>The center_id does not seem to have anything to do with the task goal</p>",
          "rawMarkdown": "Oh, thank u . I misunderstand. I thought center_id is the position of disease in the slide before. \n\nThe center_id does not seem to have anything to do with the task goal"
        },
        {
          "id": 1946181,
          "postDate": "2022-09-19T16:35:11.433Z",
          "content": "<p>It seems it does have something to do. As far as I have understood, different centers produce slides with varying strain colors/ contrast/ quality etc which you can use to stratify you train-test split. </p>",
          "rawMarkdown": "It seems it does have something to do. As far as I have understood, different centers produce slides with varying strain colors/ contrast/ quality etc which you can use to stratify you train-test split. "
        }
      ]
    },
    {
      "id": 1920569,
      "postDate": "2022-08-31T08:24:26.730Z",
      "content": "<p>Where does the center_id correspond to the picture? Is it to divide the picture into 16 boxes and select the center_id box in order ?</p>",
      "rawMarkdown": "Where does the center_id correspond to the picture? Is it to divide the picture into 16 boxes and select the center_id box in order ?"
    }
  ],
  "comments": [
    {
      "id": 1920773,
      "author_name": "Arthur",
      "author_url": "",
      "post_date": "2022-08-31T11:54:40.337000",
      "content": "<p>train.csv Contains annotations for images in the train/ folder.<br>\nimage_id - A unique identifier for this instance having the form {patient_id}_{image_num}. Corresponds to the image {image_id}.tif.<br>\ncenter_id - Identifies the medical center where the slide was obtained.<br>\npatient_id - Identifies the patient from whom the slide was obtained.<br>\nimage_num - Enumerates images of clots obtained from the same patient.<br>\nlabel - The etiology of the clot, either CE or LAA. This field is the classification target.</p>",
      "votes": 1,
      "replies": [
        {
          "id": 1921961,
          "author_name": "Sheldom",
          "author_url": "",
          "post_date": "2022-09-01T07:15:24.173000",
          "content": "<p>Oh, thank u . I misunderstand. I thought center_id is the position of disease in the slide before. </p>\n<p>The center_id does not seem to have anything to do with the task goal</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 1946181,
          "author_name": "tdiceman",
          "author_url": "",
          "post_date": "2022-09-19T16:35:11.433000",
          "content": "<p>It seems it does have something to do. As far as I have understood, different centers produce slides with varying strain colors/ contrast/ quality etc which you can use to stratify you train-test split. </p>",
          "votes": 0,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1920773": "train.csv Contains annotations for images in the train/ folder.\nimage_id - A unique identifier for this instance having the form {patient_id}_{image_num}. Corresponds to the image {image_id}.tif.\ncenter_id - Identifies the medical center where the slide was obtained.\npatient_id - Identifies the patient from whom the slide was obtained.\nimage_num - Enumerates images of clots obtained from the same patient.\nlabel - The etiology of the clot, either CE or LAA. This field is the classification target.",
    "1920569": "Where does the center_id correspond to the picture? Is it to divide the picture into 16 boxes and select the center_id box in order ?"
  }
}