{
  "id": 516895,
  "title": "How to match each .dcm file to the submission title?",
  "url": "/competitions/rsna-2024-lumbar-spine-degenerative-classification/discussion/516895",
  "author_name": "",
  "post_date": "2024-07-04T02:15:47.722406600Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I just want to know that how to match them during inference. The sample_submission contains 25 rows, but the test_images contain more .dcm files than that, how to match them?<br>\nThanks!!</p>",
  "messages": [
    {
      "id": "2903751",
      "postDate": "07/04/2024 02:15:47",
      "content": "<p>I just want to know that how to match them during inference. The sample_submission contains 25 rows, but the test_images contain more .dcm files than that, how to match them?<br>\nThanks!!</p>",
      "rawMarkdown": "I just want to know that how to match them during inference. The sample_submission contains 25 rows, but the test_images contain more .dcm files than that, how to match them?\nThanks!!",
      "votes": null
    },
    {
      "id": "2904788",
      "postDate": "07/04/2024 15:12:09",
      "content": "<p>For each patient (== study_id) you have to make 25 predictions for the 25 conditions (left_neural_foraminal_narrowing_l2_l3, …left_subarticular_stenosis_l4_l5,….). This doesn't depend on the number of images present in each folder.</p>",
      "rawMarkdown": "For each patient (== study_id) you have to make 25 predictions for the 25 conditions (left_neural_foraminal_narrowing_l2_l3, ...left_subarticular_stenosis_l4_l5,....). This doesn't depend on the number of images present in each folder.",
      "votes": null
    },
    {
      "id": "2906365",
      "postDate": "07/05/2024 14:45:20",
      "content": "<p>Thank you!<br>\nIs that mean for each predictDoes this mean that for each prediction column ([normal_mild/moderate/severe]), I need to make 25 predictions for 25 conditions, and the final result of each column comes from the aggregated results of each .dcm file? (Do I simply calculate the mean value across all .dcm files?ion column ([normal_mild/moderate/severe]),  I need to give 25 predictions for 25 conditions, and the final result of each column come from the result of each .dcm? ( I just need to get the mean value of all dcm files?)</p>",
      "rawMarkdown": "Thank you!\nIs that mean for each predictDoes this mean that for each prediction column ([normal_mild/moderate/severe]), I need to make 25 predictions for 25 conditions, and the final result of each column comes from the aggregated results of each .dcm file? (Do I simply calculate the mean value across all .dcm files?ion column ([normal_mild/moderate/severe]),  I need to give 25 predictions for 25 conditions, and the final result of each column come from the result of each .dcm? ( I just need to get the mean value of all dcm files?)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2904788,
      "author_name": "manuelkrmer",
      "author_url": "",
      "post_date": "07/04/2024 15:12:09",
      "content": "<p>For each patient (== study_id) you have to make 25 predictions for the 25 conditions (left_neural_foraminal_narrowing_l2_l3, …left_subarticular_stenosis_l4_l5,….). This doesn't depend on the number of images present in each folder.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2906365,
          "author_name": "rexdeng",
          "author_url": "",
          "post_date": "07/05/2024 14:45:20",
          "content": "<p>Thank you!<br>\nIs that mean for each predictDoes this mean that for each prediction column ([normal_mild/moderate/severe]), I need to make 25 predictions for 25 conditions, and the final result of each column comes from the aggregated results of each .dcm file? (Do I simply calculate the mean value across all .dcm files?ion column ([normal_mild/moderate/severe]),  I need to give 25 predictions for 25 conditions, and the final result of each column come from the result of each .dcm? ( I just need to get the mean value of all dcm files?)</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2903751": "I just want to know that how to match them during inference. The sample_submission contains 25 rows, but the test_images contain more .dcm files than that, how to match them?\nThanks!!",
    "2904788": "For each patient (== study_id) you have to make 25 predictions for the 25 conditions (left_neural_foraminal_narrowing_l2_l3, ...left_subarticular_stenosis_l4_l5,....). This doesn't depend on the number of images present in each folder.",
    "2906365": "Thank you!\nIs that mean for each predictDoes this mean that for each prediction column ([normal_mild/moderate/severe]), I need to make 25 predictions for 25 conditions, and the final result of each column comes from the aggregated results of each .dcm file? (Do I simply calculate the mean value across all .dcm files?ion column ([normal_mild/moderate/severe]),  I need to give 25 predictions for 25 conditions, and the final result of each column come from the result of each .dcm? ( I just need to get the mean value of all dcm files?)"
  },
  "source": "meta"
}