https://github.com/apple1986/SAMatch
SAMatch： SAM-Guided and Match-based Semi-Supervised Segmentation for Medical Image
https://github.com/apple1986/SAMatch
Last synced: 5 months ago
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SAMatch： SAM-Guided and Match-based Semi-Supervised Segmentation for Medical Image
- Host: GitHub
- URL: https://github.com/apple1986/SAMatch
- Owner: apple1986
- License: apache-2.0
- Created: 2024-10-23T20:38:33.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-30T04:31:51.000Z (about 1 year ago)
- Last Synced: 2024-11-30T05:22:59.394Z (about 1 year ago)
- Size: 4.88 KB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- Awesome-Segment-Anything - [code
README
The dataset and model can be downloaded in https://drive.google.com/drive/folders/1Kg1-fbFq2PD9N9Gqy9uLRKyxyivRlRED?usp=sharing
Please mkdir a folder named checkpoint, and unzip the model (SAM) into this folder.
Please unzip the dataset (ACDC and BUSI) into the data folder
Please use the default splitting for train, validation and testing datasets for fair comparison.
# SAMatch
SAMatch： SAM-Guided and Match-based Semi-Supervised Segmentation for Medical Image
This paper has been published in Medical Physics:
https://aapm.onlinelibrary.wiley.com/doi/full/10.1002/mp.17785
Xu, Guoping, et al. "A segment anything model‐guided and match‐based semi‐supervised segmentation framework for medical imaging." Medical physics (2025).
The paper can be found in https://arxiv.org/abs/2411.16949
Xu G, Qian X, Shao H C, et al. A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging[J]. arXiv preprint arXiv:2411.16949, 2024.