https://github.com/marrlab/med-al-ssl

Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets
https://github.com/marrlab/med-al-ssl

active-learning deep-learning medical-imaging semi-supervised-learning weakly-supervised-learning

Last synced: about 1 year ago
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Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets

• Host: GitHub
• URL: https://github.com/marrlab/med-al-ssl
• Owner: marrlab
• License: mit
• Created: 2020-07-02T08:59:11.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2021-05-17T08:03:14.000Z (almost 5 years ago)
• Last Synced: 2024-05-03T16:20:50.930Z (almost 2 years ago)
• Topics: active-learning, deep-learning, medical-imaging, semi-supervised-learning, weakly-supervised-learning
• Language: Python
• Homepage: https://www.biorxiv.org/content/10.1101/2020.12.07.414235v2
• Size: 163 MB
• Stars: 16
• Watchers: 2
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

          
# Annotation-efficient classification combining active learning, pre-training and semi-supervised learning for biomedical images

This is the repository for the CPVR 2021 submission. In this repository, you can find the code as well as the all the quantitative results

- [code](code): For running the code, access to the data and implementation details please refer here.

- [results](results): For finding the results, tables and figures please refer here. 

The preprint of our work on bioRxiv can be found [here](https://www.biorxiv.org/content/10.1101/2020.12.07.414235v1)