{
  "id": 164933,
  "title": "Pydicom useful Resources ",
  "url": "/competitions/osic-pulmonary-fibrosis-progression/discussion/164933",
  "author_name": "",
  "post_date": "2020-07-07T23:13:22.269560400Z",
  "votes": 5,
  "comment_count": 1,
  "views": 0,
  "content": "<h2>Learn about PyDICOM files.</h2>\n\n<h3>Below list of Kaggle kernels, resources and links from where you can learn more about DICOM format and what tools you can use to extract content from the DICOM files.</h3>\n\n<ul>\n<li>Kevin Mader, Lung Opacity Overview, <a href=\"https://www.kaggle.com/kmader/lung-opacity-overview\">https://www.kaggle.com/kmader/lung-opacity-overview</a>\nModality Specific Modules, DICOM Standard, <a href=\"http://dicom.nema.org/medical/dicom/2014c/output/chtml/part03/sect_C.8.html\">http://dicom.nema.org/medical/dicom/2014c/output/chtml/part03/sect_C.8.html</a></li>\n<li>DICOM Standard, <a href=\"https://www.dicomstandard.org/\">https://www.dicomstandard.org/</a></li>\n<li>Getting Started with Pydicom, <a href=\"https://pydicom.github.io/pydicom/stable/getting_started.html\">https://pydicom.github.io/pydicom/stable/getting_started.html</a></li>\n<li>ITKPYthon package, <a href=\"https://itkpythonpackage.readthedocs.io/en/latest/\">https://itkpythonpackage.readthedocs.io/en/latest/</a></li>\n<li>DICOM in Python: Importing medical image data into NumPy with PyDICOM and VTK, * * * <a href=\"https://pyscience.wordpress.com/2014/09/08/dicom-in-python-importing-medical-image-data-into-numpy-with-pydicom-and-vtk/\">https://pyscience.wordpress.com/2014/09/08/dicom-in-python-importing-medical-image-data-into-numpy-with-pydicom-and-vtk/</a></li>\n<li>DICOM Processing and Segmentation in Python, <a href=\"https://www.raddq.com/dicom-processing-segmentation-visualization-in-python/\">https://www.raddq.com/dicom-processing-segmentation-visualization-in-python/</a></li>\n<li>DICOM Standard Browser, <a href=\"https://dicom.innolitics.com/ciods\">https://dicom.innolitics.com/ciods</a></li>\n<li>How can I read a DICOM image in Python, <a href=\"https://www.quora.com/How-can-I-read-a-DICOM-image-in-Python\">https://www.quora.com/How-can-I-read-a-DICOM-image-in-Python</a></li>\n<li>DICOM read example in Python, <a href=\"https://www.programcreek.com/python/example/97517/dicom.read_file\">https://www.programcreek.com/python/example/97517/dicom.read_file</a></li>\n<li>DICOM in Python, <a href=\"https://github.com/pydicom\">https://github.com/pydicom</a></li>\n</ul>\n\n<p><strong>Any other useful information, Please share here.</strong></p>",
  "messages": [
    {
      "id": "919498",
      "postDate": "07/07/2020 23:13:22",
      "content": "<h2>Learn about PyDICOM files.</h2>\n\n<h3>Below list of Kaggle kernels, resources and links from where you can learn more about DICOM format and what tools you can use to extract content from the DICOM files.</h3>\n\n<ul>\n<li>Kevin Mader, Lung Opacity Overview, <a href=\"https://www.kaggle.com/kmader/lung-opacity-overview\">https://www.kaggle.com/kmader/lung-opacity-overview</a>\nModality Specific Modules, DICOM Standard, <a href=\"http://dicom.nema.org/medical/dicom/2014c/output/chtml/part03/sect_C.8.html\">http://dicom.nema.org/medical/dicom/2014c/output/chtml/part03/sect_C.8.html</a></li>\n<li>DICOM Standard, <a href=\"https://www.dicomstandard.org/\">https://www.dicomstandard.org/</a></li>\n<li>Getting Started with Pydicom, <a href=\"https://pydicom.github.io/pydicom/stable/getting_started.html\">https://pydicom.github.io/pydicom/stable/getting_started.html</a></li>\n<li>ITKPYthon package, <a href=\"https://itkpythonpackage.readthedocs.io/en/latest/\">https://itkpythonpackage.readthedocs.io/en/latest/</a></li>\n<li>DICOM in Python: Importing medical image data into NumPy with PyDICOM and VTK, * * * <a href=\"https://pyscience.wordpress.com/2014/09/08/dicom-in-python-importing-medical-image-data-into-numpy-with-pydicom-and-vtk/\">https://pyscience.wordpress.com/2014/09/08/dicom-in-python-importing-medical-image-data-into-numpy-with-pydicom-and-vtk/</a></li>\n<li>DICOM Processing and Segmentation in Python, <a href=\"https://www.raddq.com/dicom-processing-segmentation-visualization-in-python/\">https://www.raddq.com/dicom-processing-segmentation-visualization-in-python/</a></li>\n<li>DICOM Standard Browser, <a href=\"https://dicom.innolitics.com/ciods\">https://dicom.innolitics.com/ciods</a></li>\n<li>How can I read a DICOM image in Python, <a href=\"https://www.quora.com/How-can-I-read-a-DICOM-image-in-Python\">https://www.quora.com/How-can-I-read-a-DICOM-image-in-Python</a></li>\n<li>DICOM read example in Python, <a href=\"https://www.programcreek.com/python/example/97517/dicom.read_file\">https://www.programcreek.com/python/example/97517/dicom.read_file</a></li>\n<li>DICOM in Python, <a href=\"https://github.com/pydicom\">https://github.com/pydicom</a></li>\n</ul>\n\n<p><strong>Any other useful information, Please share here.</strong></p>",
      "rawMarkdown": "## Learn about PyDICOM files.\n### Below list of Kaggle kernels, resources and links from where you can learn more about DICOM format and what tools you can use to extract content from the DICOM files.\n\n- Kevin Mader, Lung Opacity Overview, https://www.kaggle.com/kmader/lung-opacity-overview\n Modality Specific Modules, DICOM Standard, http://dicom.nema.org/medical/dicom/2014c/output/chtml/part03/sect_C.8.html\n- DICOM Standard, https://www.dicomstandard.org/\n- Getting Started with Pydicom, https://pydicom.github.io/pydicom/stable/getting_started.html\n- ITKPYthon package, https://itkpythonpackage.readthedocs.io/en/latest/\n- DICOM in Python: Importing medical image data into NumPy with PyDICOM and VTK, * * * https://pyscience.wordpress.com/2014/09/08/dicom-in-python-importing-medical-image-data-into-numpy-with-pydicom-and-vtk/\n- DICOM Processing and Segmentation in Python, https://www.raddq.com/dicom-processing-segmentation-visualization-in-python/\n- DICOM Standard Browser, https://dicom.innolitics.com/ciods\n- How can I read a DICOM image in Python, https://www.quora.com/How-can-I-read-a-DICOM-image-in-Python\n- DICOM read example in Python, https://www.programcreek.com/python/example/97517/dicom.read_file\n- DICOM in Python, https://github.com/pydicom\n\n\n**Any other useful information, Please share here.**",
      "votes": null
    },
    {
      "id": "936680",
      "postDate": "07/20/2020 12:43:38",
      "content": "<p>Thanks for the links! </p>\n\n<p>The link <a href=\"https://pydicom.github.io/pydicom/stable/getting_started.html\">https://pydicom.github.io/pydicom/stable/getting_started.html</a> is broken, you might want to update to <a href=\"https://pydicom.github.io/pydicom/0.9/getting_started.html\">https://pydicom.github.io/pydicom/0.9/getting_started.html</a> or <a href=\"https://pydicom.github.io/pydicom/stable/\">https://pydicom.github.io/pydicom/stable/</a> instead</p>",
      "rawMarkdown": "Thanks for the links! \n\nThe link https://pydicom.github.io/pydicom/stable/getting_started.html is broken, you might want to update to https://pydicom.github.io/pydicom/0.9/getting_started.html or https://pydicom.github.io/pydicom/stable/ instead",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 936680,
      "author_name": "elanclar",
      "author_url": "",
      "post_date": "07/20/2020 12:43:38",
      "content": "<p>Thanks for the links! </p>\n\n<p>The link <a href=\"https://pydicom.github.io/pydicom/stable/getting_started.html\">https://pydicom.github.io/pydicom/stable/getting_started.html</a> is broken, you might want to update to <a href=\"https://pydicom.github.io/pydicom/0.9/getting_started.html\">https://pydicom.github.io/pydicom/0.9/getting_started.html</a> or <a href=\"https://pydicom.github.io/pydicom/stable/\">https://pydicom.github.io/pydicom/stable/</a> instead</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "919498": "## Learn about PyDICOM files.\n### Below list of Kaggle kernels, resources and links from where you can learn more about DICOM format and what tools you can use to extract content from the DICOM files.\n\n- Kevin Mader, Lung Opacity Overview, https://www.kaggle.com/kmader/lung-opacity-overview\n Modality Specific Modules, DICOM Standard, http://dicom.nema.org/medical/dicom/2014c/output/chtml/part03/sect_C.8.html\n- DICOM Standard, https://www.dicomstandard.org/\n- Getting Started with Pydicom, https://pydicom.github.io/pydicom/stable/getting_started.html\n- ITKPYthon package, https://itkpythonpackage.readthedocs.io/en/latest/\n- DICOM in Python: Importing medical image data into NumPy with PyDICOM and VTK, * * * https://pyscience.wordpress.com/2014/09/08/dicom-in-python-importing-medical-image-data-into-numpy-with-pydicom-and-vtk/\n- DICOM Processing and Segmentation in Python, https://www.raddq.com/dicom-processing-segmentation-visualization-in-python/\n- DICOM Standard Browser, https://dicom.innolitics.com/ciods\n- How can I read a DICOM image in Python, https://www.quora.com/How-can-I-read-a-DICOM-image-in-Python\n- DICOM read example in Python, https://www.programcreek.com/python/example/97517/dicom.read_file\n- DICOM in Python, https://github.com/pydicom\n\n\n**Any other useful information, Please share here.**",
    "936680": "Thanks for the links! \n\nThe link https://pydicom.github.io/pydicom/stable/getting_started.html is broken, you might want to update to https://pydicom.github.io/pydicom/0.9/getting_started.html or https://pydicom.github.io/pydicom/stable/ instead"
  },
  "source": "meta"
}