https://github.com/hilab-git/dag4mia

Domain Adaptation and Generalization for Medical Image Analysis
https://github.com/hilab-git/dag4mia

domain-adaptation domain-generalization medical-imaging

Last synced: 3 months ago
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Domain Adaptation and Generalization for Medical Image Analysis

• Host: GitHub
• URL: https://github.com/hilab-git/dag4mia
• Owner: HiLab-git
• License: mit
• Created: 2021-08-17T07:57:58.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-03-24T19:49:57.000Z (11 months ago)
• Last Synced: 2024-03-24T20:38:43.806Z (11 months ago)
• Topics: domain-adaptation, domain-generalization, medical-imaging
• Language: Python
• Homepage:
• Size: 724 KB
• Stars: 95
• Watchers: 7
• Forks: 11
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# DAG4MIA

Domain Adaptation and Generalization for Medical Image Analysis

## Code

This repository will offer some projects of our conducted works.  

2023.01.04 We released the project of our proposed GAN-free disentanglement network based DG method (CDDSA). We released the backbone of our proposed CDDSA.

2022.11.23 Our proposed GAN-free disentanglement network based DG method (CDDSA) is accessible at [Arxiv](https://arxiv.org/abs/2211.12081).

2022.9.28 Our propsoed Contrastive Semi-supervised Learning based DA method (CS-CADA) was accepted by IEEE TMI. The early access version now is available at [TMI](https://ieeexplore.ieee.org/document/9903480)  

2022.9.15 We released the project of our proposed semi-supervised based DA method [CS-CADA](https://arxiv.org/abs/2208.08605).

## Paper

This repository will summary and update Domain Adaptation (DA) and Domain Generalization (DG) related works applied in Medical Image Analysis.

Catalogue:

1. [Datasets](./paper/Datasets.md)

2. [Domain Adaptation (DA)](./paper/DomainAdaptation.md)

3. [Domain Generalization (DG)](./paper/DomainGeneralization.md)

4. [Out of Distribution (OOD)](./paper/Out-of-DistributionDetection.md)

5. [Review Papers](./paper/ReviewPapers.md)

## Questions

For further question about this project,  please contact '[[email protected]]([email protected])'