{
  "id": 248230,
  "title": "Exported DICOM tags - dataset and notebook",
  "url": "/competitions/siim-covid19-detection/discussion/248230",
  "author_name": "",
  "post_date": "2021-06-22T21:06:32.489393100Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>It occurred to me that exporting a list of un-anonymized DICOM tags would save a lot of processing time when grouping/sorting/scaling images .. so I made a notebook and a dataset to do it.</p>\n<p>If anyone is doing measurements or comparisons on bounding boxes across multiple images, this will eliminate loading each image. Likewise, it might help in batch processing to quickly know the bit depth, dimensions and photometric interpretation on many images simultaneously.</p>\n<p>Notebook: <a href=\"https://www.kaggle.com/davidbroberts/get-dicom-tags\" target=\"_blank\">https://www.kaggle.com/davidbroberts/get-dicom-tags</a></p>\n<p>Dataset: <a href=\"https://www.kaggle.com/davidbroberts/siimfisabiorsna-covid19-dicom-tags\" target=\"_blank\">https://www.kaggle.com/davidbroberts/siimfisabiorsna-covid19-dicom-tags</a></p>",
  "messages": [
    {
      "id": "1361479",
      "postDate": "06/22/2021 21:06:32",
      "content": "<p>It occurred to me that exporting a list of un-anonymized DICOM tags would save a lot of processing time when grouping/sorting/scaling images .. so I made a notebook and a dataset to do it.</p>\n<p>If anyone is doing measurements or comparisons on bounding boxes across multiple images, this will eliminate loading each image. Likewise, it might help in batch processing to quickly know the bit depth, dimensions and photometric interpretation on many images simultaneously.</p>\n<p>Notebook: <a href=\"https://www.kaggle.com/davidbroberts/get-dicom-tags\" target=\"_blank\">https://www.kaggle.com/davidbroberts/get-dicom-tags</a></p>\n<p>Dataset: <a href=\"https://www.kaggle.com/davidbroberts/siimfisabiorsna-covid19-dicom-tags\" target=\"_blank\">https://www.kaggle.com/davidbroberts/siimfisabiorsna-covid19-dicom-tags</a></p>",
      "rawMarkdown": "It occurred to me that exporting a list of un-anonymized DICOM tags would save a lot of processing time when grouping/sorting/scaling images .. so I made a notebook and a dataset to do it.\n\nIf anyone is doing measurements or comparisons on bounding boxes across multiple images, this will eliminate loading each image. Likewise, it might help in batch processing to quickly know the bit depth, dimensions and photometric interpretation on many images simultaneously.\n\nNotebook: https://www.kaggle.com/davidbroberts/get-dicom-tags\n\nDataset: https://www.kaggle.com/davidbroberts/siimfisabiorsna-covid19-dicom-tags",
      "votes": null
    },
    {
      "id": "1361907",
      "postDate": "06/23/2021 05:51:46",
      "content": "<p><strong>How can we use TFOD for this dataset?</strong><br>\ncan you give some hints for this task?,  I'm very much confused.</p>",
      "rawMarkdown": "**How can we use TFOD for this dataset?**\ncan you give some hints for this task?,  I'm very much confused.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1361907,
      "author_name": "prateek147",
      "author_url": "",
      "post_date": "06/23/2021 05:51:46",
      "content": "<p><strong>How can we use TFOD for this dataset?</strong><br>\ncan you give some hints for this task?,  I'm very much confused.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1361479": "It occurred to me that exporting a list of un-anonymized DICOM tags would save a lot of processing time when grouping/sorting/scaling images .. so I made a notebook and a dataset to do it.\n\nIf anyone is doing measurements or comparisons on bounding boxes across multiple images, this will eliminate loading each image. Likewise, it might help in batch processing to quickly know the bit depth, dimensions and photometric interpretation on many images simultaneously.\n\nNotebook: https://www.kaggle.com/davidbroberts/get-dicom-tags\n\nDataset: https://www.kaggle.com/davidbroberts/siimfisabiorsna-covid19-dicom-tags",
    "1361907": "**How can we use TFOD for this dataset?**\ncan you give some hints for this task?,  I'm very much confused."
  },
  "source": "meta"
}