{
  "id": 344370,
  "title": "train_images contains C1-C7 only and segmentations contains the Thoracic Vertebrae, correct?",
  "url": "/competitions/rsna-2022-cervical-spine-fracture-detection/discussion/344370",
  "author_name": "HaydenDippL",
  "post_date": "2022-08-15T01:50:56.638000",
  "votes": 1,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I want to clarify that train_images only contains patients with C1-C7 and not any of the thoracic vertebrae. I was confused after I found the min and max number of images for the patients in the training file. The min was 69 images and the max was 1082 images. I have no medical background so I do not know if this disparity is normal or not. I am fairly new also to machine learning so I don't know if this is a common scenario or if I horribly messed something up. Thank you in advance!</p>",
  "messages": [
    {
      "id": 1906533,
      "postDate": "2022-08-20T00:53:43.353Z",
      "content": "<p>I think the thickness of the slices dos do not seem constant, some equipment has thicker slices than others</p>",
      "rawMarkdown": "I think the thickness of the slices dos do not seem constant, some equipment has thicker slices than others",
      "votes": 1
    },
    {
      "id": 1898998,
      "postDate": "2022-08-15T01:50:56.640Z",
      "content": "<p>I want to clarify that train_images only contains patients with C1-C7 and not any of the thoracic vertebrae. I was confused after I found the min and max number of images for the patients in the training file. The min was 69 images and the max was 1082 images. I have no medical background so I do not know if this disparity is normal or not. I am fairly new also to machine learning so I don't know if this is a common scenario or if I horribly messed something up. Thank you in advance!</p>",
      "rawMarkdown": "I want to clarify that train_images only contains patients with C1-C7 and not any of the thoracic vertebrae. I was confused after I found the min and max number of images for the patients in the training file. The min was 69 images and the max was 1082 images. I have no medical background so I do not know if this disparity is normal or not. I am fairly new also to machine learning so I don't know if this is a common scenario or if I horribly messed something up. Thank you in advance!",
      "votes": 1
    },
    {
      "id": 1899283,
      "postDate": "2022-08-15T07:05:41.797Z",
      "content": "<p>train_images, contains images which do not have any vertebrate, and train_images can also have images of other vertebrae except C1-C7</p>",
      "rawMarkdown": "train_images, contains images which do not have any vertebrate, and train_images can also have images of other vertebrae except C1-C7",
      "votes": 2,
      "replies": [
        {
          "id": 1900142,
          "postDate": "2022-08-15T18:27:41.337Z",
          "content": "<p>Thank you, Harshit!</p>",
          "rawMarkdown": "Thank you, Harshit!"
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 1906533,
      "author_name": "roger_automatizado",
      "author_url": "",
      "post_date": "2022-08-20T00:53:43.353000",
      "content": "<p>I think the thickness of the slices dos do not seem constant, some equipment has thicker slices than others</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 1899283,
      "author_name": "Harshit Sheoran",
      "author_url": "",
      "post_date": "2022-08-15T07:05:41.797000",
      "content": "<p>train_images, contains images which do not have any vertebrate, and train_images can also have images of other vertebrae except C1-C7</p>",
      "votes": 2,
      "replies": [
        {
          "id": 1900142,
          "author_name": "HaydenDippL",
          "author_url": "",
          "post_date": "2022-08-15T18:27:41.337000",
          "content": "<p>Thank you, Harshit!</p>",
          "votes": 0,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1906533": "I think the thickness of the slices dos do not seem constant, some equipment has thicker slices than others",
    "1898998": "I want to clarify that train_images only contains patients with C1-C7 and not any of the thoracic vertebrae. I was confused after I found the min and max number of images for the patients in the training file. The min was 69 images and the max was 1082 images. I have no medical background so I do not know if this disparity is normal or not. I am fairly new also to machine learning so I don't know if this is a common scenario or if I horribly messed something up. Thank you in advance!",
    "1899283": "train_images, contains images which do not have any vertebrate, and train_images can also have images of other vertebrae except C1-C7"
  }
}