{
  "id": 372130,
  "title": "16bits PNG dataset (1024)",
  "url": "/competitions/rsna-breast-cancer-detection/discussion/372130",
  "author_name": "MPWARE",
  "post_date": "2022-12-14T08:04:58.780000",
  "votes": 11,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hi,</p>\n<p>Just joining the competition.</p>\n<p>I've generated a 16 bits dataset (32GB):</p>\n<ul>\n<li>16 bits PNG</li>\n<li>1024 images with aspect ratio=1</li>\n<li>min/max normalized</li>\n<li>Processed with PyDicom.</li>\n<li>No VOI LUT</li>\n</ul>\n<p><a href=\"https://www.kaggle.com/datasets/mpware/rsna-smbcd-1024-ar-v2\" target=\"_blank\">https://www.kaggle.com/datasets/mpware/rsna-smbcd-1024-ar-v2</a></p>",
  "messages": [
    {
      "id": 2064976,
      "postDate": "2022-12-14T08:04:58.780Z",
      "content": "<p>Hi,</p>\n<p>Just joining the competition.</p>\n<p>I've generated a 16 bits dataset (32GB):</p>\n<ul>\n<li>16 bits PNG</li>\n<li>1024 images with aspect ratio=1</li>\n<li>min/max normalized</li>\n<li>Processed with PyDicom.</li>\n<li>No VOI LUT</li>\n</ul>\n<p><a href=\"https://www.kaggle.com/datasets/mpware/rsna-smbcd-1024-ar-v2\" target=\"_blank\">https://www.kaggle.com/datasets/mpware/rsna-smbcd-1024-ar-v2</a></p>",
      "rawMarkdown": "Hi,\n\nJust joining the competition.\n\nI've generated a 16 bits dataset (32GB):\n- 16 bits PNG\n- 1024 images with aspect ratio=1\n- min/max normalized\n- Processed with PyDicom.\n- No VOI LUT\n\nhttps://www.kaggle.com/datasets/mpware/rsna-smbcd-1024-ar-v2\n",
      "votes": 11
    },
    {
      "id": 2065584,
      "postDate": "2022-12-14T21:04:02.937Z",
      "content": "<p><a href=\"https://www.kaggle.com/pheadrus\" target=\"_blank\">@pheadrus</a> Yes, here is the notebook that generates the dataset:<br>\n<a href=\"https://www.kaggle.com/code/mpware/rsna-dicom\" target=\"_blank\">https://www.kaggle.com/code/mpware/rsna-dicom</a></p>",
      "rawMarkdown": "@pheadrus Yes, here is the notebook that generates the dataset:\nhttps://www.kaggle.com/code/mpware/rsna-dicom",
      "votes": 2,
      "replies": [
        {
          "id": 2065933,
          "postDate": "2022-12-15T08:11:50.177Z",
          "content": "<p>Thankyou! :) </p>",
          "rawMarkdown": "Thankyou! :) "
        }
      ]
    },
    {
      "id": 2065061,
      "postDate": "2022-12-14T09:21:44.080Z",
      "content": "<p>Thanks. Can you post creation code also?</p>",
      "rawMarkdown": "Thanks. Can you post creation code also?",
      "votes": 2
    }
  ],
  "comments": [
    {
      "id": 2065584,
      "author_name": "MPWARE",
      "author_url": "",
      "post_date": "2022-12-14T21:04:02.937000",
      "content": "<p><a href=\"https://www.kaggle.com/pheadrus\" target=\"_blank\">@pheadrus</a> Yes, here is the notebook that generates the dataset:<br>\n<a href=\"https://www.kaggle.com/code/mpware/rsna-dicom\" target=\"_blank\">https://www.kaggle.com/code/mpware/rsna-dicom</a></p>",
      "votes": 2,
      "replies": [
        {
          "id": 2065933,
          "author_name": "Phaedrus",
          "author_url": "",
          "post_date": "2022-12-15T08:11:50.177000",
          "content": "<p>Thankyou! :) </p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 2065061,
      "author_name": "Phaedrus",
      "author_url": "",
      "post_date": "2022-12-14T09:21:44.080000",
      "content": "<p>Thanks. Can you post creation code also?</p>",
      "votes": 2,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2064976": "Hi,\n\nJust joining the competition.\n\nI've generated a 16 bits dataset (32GB):\n- 16 bits PNG\n- 1024 images with aspect ratio=1\n- min/max normalized\n- Processed with PyDicom.\n- No VOI LUT\n\nhttps://www.kaggle.com/datasets/mpware/rsna-smbcd-1024-ar-v2\n",
    "2065584": "@pheadrus Yes, here is the notebook that generates the dataset:\nhttps://www.kaggle.com/code/mpware/rsna-dicom",
    "2065061": "Thanks. Can you post creation code also?"
  }
}