{
  "id": 154659,
  "title": "Tools for exploring DICOM files",
  "url": "/competitions/siim-isic-melanoma-classification/discussion/154659",
  "author_name": "Gabriel Preda",
  "post_date": "2020-05-29T09:37:02.239000",
  "votes": 6,
  "comment_count": 4,
  "views": 0,
  "content": "<p>For this competition, it might be useful to explore the DICOM files.\nHere is a 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.</p>\n\n<ol>\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>  </li>\n<li>Modality 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</ol>",
  "messages": [
    {
      "id": 866311,
      "postDate": "2020-05-29T09:37:02.240Z",
      "content": "<p>For this competition, it might be useful to explore the DICOM files.\nHere is a 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.</p>\n\n<ol>\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>  </li>\n<li>Modality 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</ol>",
      "rawMarkdown": "For this competition, it might be useful to explore the DICOM files.\nHere is a 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\n1.  Kevin Mader, Lung Opacity Overview, https://www.kaggle.com/kmader/lung-opacity-overview  \n2.  Modality Specific Modules, DICOM Standard, http://dicom.nema.org/medical/dicom/2014c/output/chtml/part03/sect_C.8.html  \n3.  DICOM Standard, https://www.dicomstandard.org/  \n4. Getting Started with Pydicom, https://pydicom.github.io/pydicom/stable/getting_started.html  \n5. ITKPYthon package, https://itkpythonpackage.readthedocs.io/en/latest/  \n6. 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/   \n7. DICOM Processing and Segmentation in Python, https://www.raddq.com/dicom-processing-segmentation-visualization-in-python/  \n8. DICOM Standard Browser, https://dicom.innolitics.com/ciods   \n9. How can I read a DICOM image in Python, https://www.quora.com/How-can-I-read-a-DICOM-image-in-Python  \n10. DICOM read example in Python, https://www.programcreek.com/python/example/97517/dicom.read_file  \n11. DICOM in Python, https://github.com/pydicom  ",
      "votes": 5
    },
    {
      "id": 867068,
      "postDate": "2020-05-30T01:13:00.470Z",
      "content": "<p><a href=\"/gpreda\">@gpreda</a> thank you so much, it really helps. :)</p>",
      "rawMarkdown": "@gpreda thank you so much, it really helps. :)",
      "votes": 1
    },
    {
      "id": 866494,
      "postDate": "2020-05-29T13:00:53.877Z",
      "rawMarkdown": "",
      "votes": 1,
      "isDeleted": true
    },
    {
      "id": 867112,
      "postDate": "2020-05-30T02:35:34.257Z",
      "content": "<p><a href=\"/gpreda\">@gpreda</a>  thanks for sharing</p>",
      "rawMarkdown": " @gpreda  thanks for sharing",
      "votes": 1
    },
    {
      "id": 900869,
      "postDate": "2020-06-25T05:45:54.660Z",
      "content": "<p>Thanks much Gabriel!</p>",
      "rawMarkdown": "Thanks much Gabriel!"
    }
  ],
  "comments": [
    {
      "id": 867068,
      "author_name": "Innat",
      "author_url": "",
      "post_date": "2020-05-30T01:13:00.470000",
      "content": "<p><a href=\"/gpreda\">@gpreda</a> thank you so much, it really helps. :)</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 866494,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-05-29T13:00:53.877000",
      "content": "",
      "votes": 1,
      "replies": []
    },
    {
      "id": 867112,
      "author_name": "Anonymous",
      "author_url": "",
      "post_date": "2020-05-30T02:35:34.257000",
      "content": "<p><a href=\"/gpreda\">@gpreda</a>  thanks for sharing</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 900869,
      "author_name": "Md Selim Reza",
      "author_url": "",
      "post_date": "2020-06-25T05:45:54.660000",
      "content": "<p>Thanks much Gabriel!</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "866311": "For this competition, it might be useful to explore the DICOM files.\nHere is a 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\n1.  Kevin Mader, Lung Opacity Overview, https://www.kaggle.com/kmader/lung-opacity-overview  \n2.  Modality Specific Modules, DICOM Standard, http://dicom.nema.org/medical/dicom/2014c/output/chtml/part03/sect_C.8.html  \n3.  DICOM Standard, https://www.dicomstandard.org/  \n4. Getting Started with Pydicom, https://pydicom.github.io/pydicom/stable/getting_started.html  \n5. ITKPYthon package, https://itkpythonpackage.readthedocs.io/en/latest/  \n6. 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/   \n7. DICOM Processing and Segmentation in Python, https://www.raddq.com/dicom-processing-segmentation-visualization-in-python/  \n8. DICOM Standard Browser, https://dicom.innolitics.com/ciods   \n9. How can I read a DICOM image in Python, https://www.quora.com/How-can-I-read-a-DICOM-image-in-Python  \n10. DICOM read example in Python, https://www.programcreek.com/python/example/97517/dicom.read_file  \n11. DICOM in Python, https://github.com/pydicom  ",
    "867068": "@gpreda thank you so much, it really helps. :)",
    "866494": "",
    "867112": " @gpreda  thanks for sharing",
    "900869": "Thanks much Gabriel!"
  }
}