{ "id": 503392, "title": "Need resources.", "url": "/competitions/rsna-2024-lumbar-spine-degenerative-classification/discussion/503392", "author_name": "", "post_date": "2024-05-17T07:18:44.292402800Z", "votes": 6, "comment_count": 6, "views": 0, "content": "

Hi , I am very new to this , Can anyone help me with the proper resources about this competition.
\nThank you.

", "messages": [ { "id": "2817916", "postDate": "05/17/2024 07:18:44", "content": "

Hi , I am very new to this , Can anyone help me with the proper resources about this competition.
\nThank you.

", "rawMarkdown": "Hi , I am very new to this , Can anyone help me with the proper resources about this competition.\nThank you.", "votes": null }, { "id": "2818160", "postDate": "05/17/2024 10:04:57", "content": "

Have a look at my new discussion post, I was on it, took some time to read and find relevant resources. Good luck fresh-starter!

", "rawMarkdown": "Have a look at [my new discussion post](https://www.kaggle.com/competitions/rsna-2024-lumbar-spine-degenerative-classification/discussion/503408), I was on it, took some time to read and find relevant resources. Good luck fresh-starter!", "votes": null }, { "id": "2820989", "postDate": "05/17/2024 19:22:47", "content": "

Hi Jayanth,

\n

I included these links for those that intend to work with Dicoms:

\n

Working with Dicoms

\n

OsiriX Dicom Viewer

\n

Pydicom

\n

Pydicom documentation

\n

Oro DicomA package for working with images in R.

\n

Mango: A viewer for medical research images.

\n

Kaggle Inspiration:

\n

Data Science Bowl 2017 In this Competition dataset, you are given over a thousand low-dose CT images from high-risk patients in DICOM format.

\n

DON'T see like a radiologist! -fastai By Jeremy Howard 5y ago

\n

Basic EDA + Data Visualization By Marco Vasquez E. - 5y ago

\n

Standardizing Unusual Dicoms By Hui Ming Lin

\n

Best wishes,

\n

Marília Prata.

", "rawMarkdown": "Hi Jayanth,\n\nI included these links for those that intend to work with Dicoms:\n\nWorking with Dicoms\n\n[OsiriX Dicom Viewer](https://www.osirix-viewer.com/)\n\n[Pydicom](https://pydicom.github.io/pydicom/stable/)\n\n[Pydicom documentation](https://pydicom.github.io/pydicom/0.9/)\n\n[Oro Dicom](https://cran.r-project.org/web/packages/oro.dicom/index.html)A package for working with images in R.\n\n[Mango: A viewer for medical research images.](https://mangoviewer.com/)\n\n#Kaggle Inspiration:\n\n[Data Science Bowl 2017](https://www.kaggle.com/competitions/data-science-bowl-2017/overview) In this Competition dataset, you are given over a thousand low-dose CT images from high-risk patients in DICOM format.\n\n[DON'T see like a radiologist! -fastai](https://www.kaggle.com/code/jhoward/don-t-see-like-a-radiologist-fastai) By Jeremy Howard 5y ago\n\n[Basic EDA + Data Visualization](https://www.kaggle.com/code/marcovasquez/basic-eda-data-visualization/notebook) By Marco Vasquez E. - 5y ago\n\n[Standardizing Unusual Dicoms](https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/427217) By Hui Ming Lin\n\nBest wishes,\n\nMarília Prata.", "votes": null }, { "id": "2821898", "postDate": "05/18/2024 10:11:30", "content": "

Thank you @mpwolke for helping withthe links

", "rawMarkdown": "Thank you @mpwolke for helping withthe links", "votes": null }, { "id": "2821901", "postDate": "05/18/2024 10:14:30", "content": "

Thank you @etiennekaiser for posting the links.

", "rawMarkdown": "Thank you @etiennekaiser for posting the links.", "votes": null }, { "id": "2827741", "postDate": "05/21/2024 16:13:57", "content": "

Start with this notebook : https://www.kaggle.com/code/abhinavsuri/anatomy-image-visalization-overview-rsna-raids

", "rawMarkdown": "Start with this notebook : https://www.kaggle.com/code/abhinavsuri/anatomy-image-visalization-overview-rsna-raids", "votes": null }, { "id": "2836701", "postDate": "05/26/2024 04:42:02", "content": "

@manaidu, I can't access this notebook from the link you posted.

", "rawMarkdown": "manaidu, I can't access this notebook from the link you posted.", "votes": null } ], "comments": [ { "id": 2818160, "author_name": "etiennekaiser", "author_url": "", "post_date": "05/17/2024 10:04:57", "content": "

Have a look at my new discussion post, I was on it, took some time to read and find relevant resources. Good luck fresh-starter!

", "votes": null, "replies": [ { "id": 2821901, "author_name": "jayanthkumar98", "author_url": "", "post_date": "05/18/2024 10:14:30", "content": "

Thank you @etiennekaiser for posting the links.

", "votes": null, "replies": [] } ] }, { "id": 2820989, "author_name": "mpwolke", "author_url": "", "post_date": "05/17/2024 19:22:47", "content": "

Hi Jayanth,

\n

I included these links for those that intend to work with Dicoms:

\n

Working with Dicoms

\n

OsiriX Dicom Viewer

\n

Pydicom

\n

Pydicom documentation

\n

Oro DicomA package for working with images in R.

\n

Mango: A viewer for medical research images.

\n

Kaggle Inspiration:

\n

Data Science Bowl 2017 In this Competition dataset, you are given over a thousand low-dose CT images from high-risk patients in DICOM format.

\n

DON'T see like a radiologist! -fastai By Jeremy Howard 5y ago

\n

Basic EDA + Data Visualization By Marco Vasquez E. - 5y ago

\n

Standardizing Unusual Dicoms By Hui Ming Lin

\n

Best wishes,

\n

Marília Prata.

", "votes": null, "replies": [ { "id": 2821898, "author_name": "jayanthkumar98", "author_url": "", "post_date": "05/18/2024 10:11:30", "content": "

Thank you @mpwolke for helping withthe links

", "votes": null, "replies": [] } ] }, { "id": 2827741, "author_name": "manaidu", "author_url": "", "post_date": "05/21/2024 16:13:57", "content": "

Start with this notebook : https://www.kaggle.com/code/abhinavsuri/anatomy-image-visalization-overview-rsna-raids

", "votes": null, "replies": [ { "id": 2836701, "author_name": "dinowun", "author_url": "", "post_date": "05/26/2024 04:42:02", "content": "

@manaidu, I can't access this notebook from the link you posted.

", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "2817916": "Hi , I am very new to this , Can anyone help me with the proper resources about this competition.\nThank you.", "2818160": "Have a look at [my new discussion post](https://www.kaggle.com/competitions/rsna-2024-lumbar-spine-degenerative-classification/discussion/503408), I was on it, took some time to read and find relevant resources. Good luck fresh-starter!", "2820989": "Hi Jayanth,\n\nI included these links for those that intend to work with Dicoms:\n\nWorking with Dicoms\n\n[OsiriX Dicom Viewer](https://www.osirix-viewer.com/)\n\n[Pydicom](https://pydicom.github.io/pydicom/stable/)\n\n[Pydicom documentation](https://pydicom.github.io/pydicom/0.9/)\n\n[Oro Dicom](https://cran.r-project.org/web/packages/oro.dicom/index.html)A package for working with images in R.\n\n[Mango: A viewer for medical research images.](https://mangoviewer.com/)\n\n#Kaggle Inspiration:\n\n[Data Science Bowl 2017](https://www.kaggle.com/competitions/data-science-bowl-2017/overview) In this Competition dataset, you are given over a thousand low-dose CT images from high-risk patients in DICOM format.\n\n[DON'T see like a radiologist! -fastai](https://www.kaggle.com/code/jhoward/don-t-see-like-a-radiologist-fastai) By Jeremy Howard 5y ago\n\n[Basic EDA + Data Visualization](https://www.kaggle.com/code/marcovasquez/basic-eda-data-visualization/notebook) By Marco Vasquez E. - 5y ago\n\n[Standardizing Unusual Dicoms](https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/427217) By Hui Ming Lin\n\nBest wishes,\n\nMarília Prata.", "2821898": "Thank you @mpwolke for helping withthe links", "2821901": "Thank you @etiennekaiser for posting the links.", "2827741": "Start with this notebook : https://www.kaggle.com/code/abhinavsuri/anatomy-image-visalization-overview-rsna-raids", "2836701": "manaidu, I can't access this notebook from the link you posted." }, "source": "meta" }