On behalf of the sponsoring organizations, I want to welcome and thank participants in this exciting and innovative challenge, which explores the link between medical imaging and genomic data. Your work on the challenge could help develop tools to significantly improve diagnosis and treatment of brain cancers, which cause tens of thousands of deaths worldwide each year. The dataset for this challenge has been assembled by researchers as part of the Brain Tumor Segmentation (BraTS) challenge, a decade-long effort, and was contributed by medical centers around the world. Thank you for your effort and your passion--and good luck!
\nChris Carr
\nDirector of Informatics
\nThe Radiological Society of North America (RSNA)
On behalf of the sponsoring organizations, I want to welcome and thank participants in this exciting and innovative challenge, which explores the link between medical imaging and genomic data. Your work on the challenge could help develop tools to significantly improve diagnosis and treatment of brain cancers, which cause tens of thousands of deaths worldwide each year. The dataset for this challenge has been assembled by researchers as part of the Brain Tumor Segmentation (BraTS) challenge, a decade-long effort, and was contributed by medical centers around the world. Thank you for your effort and your passion--and good luck!
\nChris Carr
\nDirector of Informatics
\nThe Radiological Society of North America (RSNA)
Dear Mr. Carr, my question/request is in a similar vane as the below comment. I am involved in research and as such exclusively use the Julia language. Is there some way that the competition may accommodate me.
", "rawMarkdown": "Dear Mr. Carr, my question/request is in a similar vane as the below comment. I am involved in research and as such exclusively use the Julia language. Is there some way that the competition may accommodate me. ", "votes": 1, "replies": [ { "id": 1410486, "postDate": "2021-08-02T17:53:53.930Z", "content": "@rudolphjvr Please refer to the response provided here, which asks a similar question
", "rawMarkdown": "@rudolphjvr Please refer to [the response provided here](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/253995), which asks a similar question " } ] }, { "id": 1407002, "postDate": "2021-08-01T12:18:20.077Z", "content": "To Host and @juliaelliott can we use pre-trained models on GPL license? or it should be only MIT lisense
", "rawMarkdown": "To Host and @juliaelliott can we use pre-trained models on GPL license? or it should be only MIT lisense", "replies": [ { "id": 1410313, "postDate": "2021-08-02T17:43:52.573Z", "content": "@mrinath The competition rules require only that your solution be possible to open source license. It does not specify what kind of a license. Therefore, you may use any pre-trained models or external data as long as they are publicly and freely available.
", "rawMarkdown": "@mrinath The competition rules require only that your solution be possible to open source license. It does not specify what kind of a license. Therefore, you may use any pre-trained models or external data as long as they are publicly and freely available.", "votes": 3 } ] }, { "id": 1393517, "postDate": "2021-07-19T17:44:02.273Z", "rawMarkdown": "", "votes": 3, "isDeleted": true } ], "comments": [ { "id": 1402258, "author_name": "RudolphJVR", "author_url": "", "post_date": "2021-07-28T03:44:46.430000", "content": "Dear Mr. Carr, my question/request is in a similar vane as the below comment. I am involved in research and as such exclusively use the Julia language. Is there some way that the competition may accommodate me.
", "votes": 1, "replies": [ { "id": 1410486, "author_name": "Julia Elliott", "author_url": "", "post_date": "2021-08-02T17:53:53.930000", "content": "@rudolphjvr Please refer to the response provided here, which asks a similar question
", "votes": 0, "replies": [] } ] }, { "id": 1407002, "author_name": "DeepUnderstanding", "author_url": "", "post_date": "2021-08-01T12:18:20.077000", "content": "To Host and @juliaelliott can we use pre-trained models on GPL license? or it should be only MIT lisense
", "votes": 0, "replies": [ { "id": 1410313, "author_name": "Julia Elliott", "author_url": "", "post_date": "2021-08-02T17:43:52.573000", "content": "@mrinath The competition rules require only that your solution be possible to open source license. It does not specify what kind of a license. Therefore, you may use any pre-trained models or external data as long as they are publicly and freely available.
", "votes": 3, "replies": [] } ] }, { "id": 1393517, "author_name": "", "author_url": "", "post_date": "2021-07-19T17:44:02.273000", "content": "", "votes": 3, "replies": [] } ], "raw_markdown_by_id": { "1390555": "On behalf of the sponsoring organizations, I want to welcome and thank participants in this exciting and innovative challenge, which explores the link between medical imaging and genomic data. Your work on the challenge could help develop tools to significantly improve diagnosis and treatment of brain cancers, which cause tens of thousands of deaths worldwide each year. The dataset for this challenge has been assembled by researchers as part of the Brain Tumor Segmentation (BraTS) challenge, a decade-long effort, and was contributed by medical centers around the world. Thank you for your effort and your passion--and good luck!\n\nChris Carr\nDirector of Informatics\nThe Radiological Society of North America (RSNA)", "1402258": "Dear Mr. Carr, my question/request is in a similar vane as the below comment. I am involved in research and as such exclusively use the Julia language. Is there some way that the competition may accommodate me. ", "1407002": "To Host and @juliaelliott can we use pre-trained models on GPL license? or it should be only MIT lisense", "1393517": "" } }