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https://github.com/fhdsl/cancer_imaging_informatics
https://github.com/fhdsl/cancer_imaging_informatics
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/fhdsl/cancer_imaging_informatics
- Owner: fhdsl
- License: cc-by-4.0
- Created: 2023-06-28T19:56:54.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-17T20:01:57.000Z (4 months ago)
- Last Synced: 2024-09-18T00:40:40.688Z (4 months ago)
- Language: CSS
- Homepage: http://hutchdatascience.org/Cancer_Imaging_Informatics/
- Size: 32.6 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 5
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Metadata Files:
- Readme: README.md
- License: LICENSE.md
- Code of conduct: code_of_conduct.md
Awesome Lists containing this project
README
# Cancer Imaging informatics
[![Render](https://github.com/fhdsl/Cancer_Imaging_Informatics/actions/workflows/render-all.yml/badge.svg)](https://github.com/fhdsl/Cancer_Imaging_Informatics/actions/workflows/render-all.yml)
This course was created from [this GitHub template](https://github.com/jhudsl/OTTR_Template).
You can see the rendered course material here: https://github.com/fhdsl/Cancer_Imaging_Informatics
If you would like to contribute to this course material, take a look at the [getting started GitHub wiki pages](https://www.ottrproject.org/).
## About this course
A course to help learners find resources and tools to help them process and interpret their imaging data. There's a lot of really great resources and tools for various data types; this course helps you find them.
## Learning Objectives
This course will teach learners to:
- Understand the overall workflow associated with processing their imaging data
- Find tutorials to help them process their imaging data
- Choose tools for processing their imaging data
- Choose tools for interpreting their imaging data## Encountering problems?
If you are encountering any problems with this course, please file a GitHub issue or contact us with [this form](https://docs.google.com/forms/d/1PjaJEmpnaHgDS7PwIuKxoY8mX7ZwlneI0i6ciXa73cY/edit).
_All materials in this course are licensed [CC-BY](https://tldrlegal.com/license/creative-commons-attribution-(cc)) and can be repurposed freely with attribution._