{
  "id": 369762,
  "title": "📸 DICOM files converted to PNGs -> 256px, 512px, 768px and 1024px",
  "url": "/competitions/rsna-breast-cancer-detection/discussion/369762",
  "author_name": "Radek Osmulski",
  "post_date": "2022-12-01T10:24:19.379000",
  "votes": 9,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hey!</p>\n<p>Just wanted to give you an update on my dataset 🙂 Ran the GCP VM for a bit more and added additional resolutions, the images come now in sizes:</p>\n<ul>\n<li>256px x 256px</li>\n<li>512px x 512px</li>\n<li>768px x 768px</li>\n<li>1024px x 1024px</li>\n</ul>\n<p>Here is the dataset: <a href=\"https://www.kaggle.com/datasets/radek1/rsna-mammography-images-as-pngs\" target=\"_blank\">RSNA Mammography PNGs 256px, 512px, 768px &amp; 1024px</a></p>\n<p>Image at 256px x 256px</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F83267%2Fadf51303d5630e99941509fe43290322%2Fsmall.png?generation=1669890137118663&amp;alt=media\" alt=\"\"></p>\n<p>The same image processed to 1024px x 1024px</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F83267%2Fee98d524e4b40c06aa210433ae3bfb30%2F1024.png?generation=1669890165709607&amp;alt=media\" alt=\"\"></p>\n<p>I shared the code I used for the processing here: <a href=\"https://www.kaggle.com/code/radek1/how-to-process-dicom-images-to-pngs\" target=\"_blank\">💡 how to process DICOM images to PNGs</a></p>\n<p>Happy Kaggling! 🙂</p>",
  "messages": [
    {
      "id": 2051291,
      "postDate": "2022-12-01T10:24:19.380Z",
      "content": "<p>Hey!</p>\n<p>Just wanted to give you an update on my dataset 🙂 Ran the GCP VM for a bit more and added additional resolutions, the images come now in sizes:</p>\n<ul>\n<li>256px x 256px</li>\n<li>512px x 512px</li>\n<li>768px x 768px</li>\n<li>1024px x 1024px</li>\n</ul>\n<p>Here is the dataset: <a href=\"https://www.kaggle.com/datasets/radek1/rsna-mammography-images-as-pngs\" target=\"_blank\">RSNA Mammography PNGs 256px, 512px, 768px &amp; 1024px</a></p>\n<p>Image at 256px x 256px</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F83267%2Fadf51303d5630e99941509fe43290322%2Fsmall.png?generation=1669890137118663&amp;alt=media\" alt=\"\"></p>\n<p>The same image processed to 1024px x 1024px</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F83267%2Fee98d524e4b40c06aa210433ae3bfb30%2F1024.png?generation=1669890165709607&amp;alt=media\" alt=\"\"></p>\n<p>I shared the code I used for the processing here: <a href=\"https://www.kaggle.com/code/radek1/how-to-process-dicom-images-to-pngs\" target=\"_blank\">💡 how to process DICOM images to PNGs</a></p>\n<p>Happy Kaggling! 🙂</p>",
      "rawMarkdown": "Hey!\n\nJust wanted to give you an update on my dataset 🙂 Ran the GCP VM for a bit more and added additional resolutions, the images come now in sizes:\n\n* 256px x 256px\n* 512px x 512px\n* 768px x 768px\n* 1024px x 1024px\n\nHere is the dataset: [RSNA Mammography PNGs 256px, 512px, 768px & 1024px](https://www.kaggle.com/datasets/radek1/rsna-mammography-images-as-pngs)\n\nImage at 256px x 256px\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F83267%2Fadf51303d5630e99941509fe43290322%2Fsmall.png?generation=1669890137118663&alt=media)\n\nThe same image processed to 1024px x 1024px\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F83267%2Fee98d524e4b40c06aa210433ae3bfb30%2F1024.png?generation=1669890165709607&alt=media)\n\nI shared the code I used for the processing here: [💡 how to process DICOM images to PNGs](https://www.kaggle.com/code/radek1/how-to-process-dicom-images-to-pngs)\n\nHappy Kaggling! 🙂",
      "votes": 9
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2051291": "Hey!\n\nJust wanted to give you an update on my dataset 🙂 Ran the GCP VM for a bit more and added additional resolutions, the images come now in sizes:\n\n* 256px x 256px\n* 512px x 512px\n* 768px x 768px\n* 1024px x 1024px\n\nHere is the dataset: [RSNA Mammography PNGs 256px, 512px, 768px & 1024px](https://www.kaggle.com/datasets/radek1/rsna-mammography-images-as-pngs)\n\nImage at 256px x 256px\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F83267%2Fadf51303d5630e99941509fe43290322%2Fsmall.png?generation=1669890137118663&alt=media)\n\nThe same image processed to 1024px x 1024px\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F83267%2Fee98d524e4b40c06aa210433ae3bfb30%2F1024.png?generation=1669890165709607&alt=media)\n\nI shared the code I used for the processing here: [💡 how to process DICOM images to PNGs](https://www.kaggle.com/code/radek1/how-to-process-dicom-images-to-pngs)\n\nHappy Kaggling! 🙂"
  }
}