{
  "id": 264446,
  "title": "Resource to learn about 3D Image Preprocessing and 3D conv net training and prediction",
  "url": "/competitions/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/264446",
  "author_name": "",
  "post_date": "2021-08-12T06:13:00.056202100Z",
  "votes": 5,
  "comment_count": 3,
  "views": 0,
  "content": "<p>When it comes to medical image processing, it mostly deals with 3D and 4D images(Raw data, like the one in this dataset). Are there any good materials(Books, kernels, blogs, course) to learn about 3D Image preprocessing and 3D Conv net training and prediction? </p>\n<p>I did come across some of the materials but they mostly touch the surface but nothing in deep. </p>\n<p><a href=\"url\" target=\"_blank\"></a><a href=\"https://theaisummer.com/medical-image-deep-learning/\" target=\"_blank\">https://theaisummer.com/medical-image-deep-learning/</a> <br>\n<a href=\"url\" target=\"_blank\"></a><a href=\"https://blog.tensorflow.org/2018/07/an-introduction-to-biomedical-image-analysis-tensorflow-dltk.html\" target=\"_blank\">https://blog.tensorflow.org/2018/07/an-introduction-to-biomedical-image-analysis-tensorflow-dltk.html</a> </p>\n<p>Any input on this is appreciated. </p>",
  "messages": [
    {
      "id": "1467759",
      "postDate": "08/12/2021 06:13:00",
      "content": "<p>When it comes to medical image processing, it mostly deals with 3D and 4D images(Raw data, like the one in this dataset). Are there any good materials(Books, kernels, blogs, course) to learn about 3D Image preprocessing and 3D Conv net training and prediction? </p>\n<p>I did come across some of the materials but they mostly touch the surface but nothing in deep. </p>\n<p><a href=\"url\" target=\"_blank\"></a><a href=\"https://theaisummer.com/medical-image-deep-learning/\" target=\"_blank\">https://theaisummer.com/medical-image-deep-learning/</a> <br>\n<a href=\"url\" target=\"_blank\"></a><a href=\"https://blog.tensorflow.org/2018/07/an-introduction-to-biomedical-image-analysis-tensorflow-dltk.html\" target=\"_blank\">https://blog.tensorflow.org/2018/07/an-introduction-to-biomedical-image-analysis-tensorflow-dltk.html</a> </p>\n<p>Any input on this is appreciated. </p>",
      "rawMarkdown": "When it comes to medical image processing, it mostly deals with 3D and 4D images(Raw data, like the one in this dataset). Are there any good materials(Books, kernels, blogs, course) to learn about 3D Image preprocessing and 3D Conv net training and prediction? \n\nI did come across some of the materials but they mostly touch the surface but nothing in deep. \n\n[https://theaisummer.com/medical-image-deep-learning/ ](url)\n[https://blog.tensorflow.org/2018/07/an-introduction-to-biomedical-image-analysis-tensorflow-dltk.html ](url)\n\nAny input on this is appreciated.",
      "votes": null
    },
    {
      "id": "1468106",
      "postDate": "08/12/2021 09:06:50",
      "content": "<p>I'm looking the same. I have this on my to-do for the weekend. </p>\n<p><a href=\"https://www.youtube.com/watch?v=gMuxB18Cr0o\" target=\"_blank\">https://www.youtube.com/watch?v=gMuxB18Cr0o</a> </p>\n<p>Not sure if it is helpful but thanks for starting this discussion :) </p>",
      "rawMarkdown": "I'm looking the same. I have this on my to-do for the weekend. \n\nhttps://www.youtube.com/watch?v=gMuxB18Cr0o \n\nNot sure if it is helpful but thanks for starting this discussion :)",
      "votes": null
    },
    {
      "id": "1468135",
      "postDate": "08/12/2021 09:17:24",
      "content": "<p>Thanks, <a href=\"https://www.kaggle.com/marshath\" target=\"_blank\">@marshath</a> let me check it out. </p>\n<p>A lot of practitioners are here, hope to hear some inputs from them. </p>",
      "rawMarkdown": "Thanks, @marshath let me check it out. \n\nA lot of practitioners are here, hope to hear some inputs from them.",
      "votes": null
    },
    {
      "id": "1468537",
      "postDate": "08/12/2021 13:10:34",
      "content": "<p>I found this book really useful <a href=\"https://pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf\" target=\"_blank\">https://pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf</a></p>",
      "rawMarkdown": "I found this book really useful https://pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1468106,
      "author_name": "marshath",
      "author_url": "",
      "post_date": "08/12/2021 09:06:50",
      "content": "<p>I'm looking the same. I have this on my to-do for the weekend. </p>\n<p><a href=\"https://www.youtube.com/watch?v=gMuxB18Cr0o\" target=\"_blank\">https://www.youtube.com/watch?v=gMuxB18Cr0o</a> </p>\n<p>Not sure if it is helpful but thanks for starting this discussion :) </p>",
      "votes": null,
      "replies": [
        {
          "id": 1468135,
          "author_name": "shilpagopal",
          "author_url": "",
          "post_date": "08/12/2021 09:17:24",
          "content": "<p>Thanks, <a href=\"https://www.kaggle.com/marshath\" target=\"_blank\">@marshath</a> let me check it out. </p>\n<p>A lot of practitioners are here, hope to hear some inputs from them. </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1468537,
      "author_name": "ranafago",
      "author_url": "",
      "post_date": "08/12/2021 13:10:34",
      "content": "<p>I found this book really useful <a href=\"https://pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf\" target=\"_blank\">https://pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1467759": "When it comes to medical image processing, it mostly deals with 3D and 4D images(Raw data, like the one in this dataset). Are there any good materials(Books, kernels, blogs, course) to learn about 3D Image preprocessing and 3D Conv net training and prediction? \n\nI did come across some of the materials but they mostly touch the surface but nothing in deep. \n\n[https://theaisummer.com/medical-image-deep-learning/ ](url)\n[https://blog.tensorflow.org/2018/07/an-introduction-to-biomedical-image-analysis-tensorflow-dltk.html ](url)\n\nAny input on this is appreciated.",
    "1468106": "I'm looking the same. I have this on my to-do for the weekend. \n\nhttps://www.youtube.com/watch?v=gMuxB18Cr0o \n\nNot sure if it is helpful but thanks for starting this discussion :)",
    "1468135": "Thanks, @marshath let me check it out. \n\nA lot of practitioners are here, hope to hear some inputs from them.",
    "1468537": "I found this book really useful https://pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf"
  },
  "source": "meta"
}