{
  "id": 428789,
  "title": "Is this a classification, detection, or segmentation problem?",
  "url": "/competitions/rsna-2023-abdominal-trauma-detection/discussion/428789",
  "author_name": "Anurag Kumar",
  "post_date": "2023-08-02T21:09:37.487000",
  "votes": 1,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I read through the contest description but I am still unclear on whether this is a classification, detection, or segmentation problem.</p>",
  "messages": [
    {
      "id": 2372754,
      "postDate": "2023-08-03T22:52:24.857Z",
      "content": "<p>It seems like it could be a segmentation challenge followed by classification.  Sadly I don't think my skills are up to segmenting the 5 body parts and than doing classification models - but would guess that will be the winning approach.</p>",
      "rawMarkdown": "It seems like it could be a segmentation challenge followed by classification.  Sadly I don't think my skills are up to segmenting the 5 body parts and than doing classification models - but would guess that will be the winning approach.",
      "votes": 6
    },
    {
      "id": 2372432,
      "postDate": "2023-08-03T17:05:16.930Z",
      "content": "<p>This is a classification problem. We need to predict the probabilities for <code>bowel_healthy</code>, <code>bowel_injury</code>, <code>extravasation_healthy</code>, <code>extravasation_injury</code>, <code>kidney_healthy</code>, <code>kidney_low</code>, <code>kidney_high</code>, <code>liver_healthy</code>, <code>liver_low</code>, <code>liver_high</code>, <code>spleen_healthy</code> and <code>spleen_low,spleen_high</code>. See the <a href=\"https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/overview/evaluation\" target=\"_blank\">Evaluation metric</a>. </p>",
      "rawMarkdown": "This is a classification problem. We need to predict the probabilities for `bowel_healthy`, `bowel_injury`, `extravasation_healthy`, `extravasation_injury`, `kidney_healthy`, `kidney_low`, `kidney_high`, `liver_healthy`, `liver_low`, `liver_high`, `spleen_healthy` and `spleen_low,spleen_high`. See the [Evaluation metric](https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/overview/evaluation). ",
      "votes": 2
    },
    {
      "id": 2371087,
      "postDate": "2023-08-02T21:09:37.487Z",
      "content": "<p>I read through the contest description but I am still unclear on whether this is a classification, detection, or segmentation problem.</p>",
      "rawMarkdown": "I read through the contest description but I am still unclear on whether this is a classification, detection, or segmentation problem.",
      "votes": 1
    }
  ],
  "comments": [
    {
      "id": 2372754,
      "author_name": "PC Jimmmy",
      "author_url": "",
      "post_date": "2023-08-03T22:52:24.857000",
      "content": "<p>It seems like it could be a segmentation challenge followed by classification.  Sadly I don't think my skills are up to segmenting the 5 body parts and than doing classification models - but would guess that will be the winning approach.</p>",
      "votes": 6,
      "replies": []
    },
    {
      "id": 2372432,
      "author_name": "coderRKJ",
      "author_url": "",
      "post_date": "2023-08-03T17:05:16.930000",
      "content": "<p>This is a classification problem. We need to predict the probabilities for <code>bowel_healthy</code>, <code>bowel_injury</code>, <code>extravasation_healthy</code>, <code>extravasation_injury</code>, <code>kidney_healthy</code>, <code>kidney_low</code>, <code>kidney_high</code>, <code>liver_healthy</code>, <code>liver_low</code>, <code>liver_high</code>, <code>spleen_healthy</code> and <code>spleen_low,spleen_high</code>. See the <a href=\"https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/overview/evaluation\" target=\"_blank\">Evaluation metric</a>. </p>",
      "votes": 2,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2372754": "It seems like it could be a segmentation challenge followed by classification.  Sadly I don't think my skills are up to segmenting the 5 body parts and than doing classification models - but would guess that will be the winning approach.",
    "2372432": "This is a classification problem. We need to predict the probabilities for `bowel_healthy`, `bowel_injury`, `extravasation_healthy`, `extravasation_injury`, `kidney_healthy`, `kidney_low`, `kidney_high`, `liver_healthy`, `liver_low`, `liver_high`, `spleen_healthy` and `spleen_low,spleen_high`. See the [Evaluation metric](https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/overview/evaluation). ",
    "2371087": "I read through the contest description but I am still unclear on whether this is a classification, detection, or segmentation problem."
  }
}