https://github.com/uni-medical/SAM-Med2D

SAM-Med2D: Bridging the Gap between Natural Image Segmentation and Medical Image Segmentation
https://github.com/uni-medical/SAM-Med2D

Last synced: about 2 months ago
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SAM-Med2D: Bridging the Gap between Natural Image Segmentation and Medical Image Segmentation

• Host: GitHub
• URL: https://github.com/uni-medical/SAM-Med2D
• Owner: uni-medical
• Created: 2023-09-04T07:18:08.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-04T08:06:37.000Z (over 1 year ago)
• Last Synced: 2024-11-21T03:25:45.878Z (2 months ago)
• Size: 2.93 KB
• Stars: 60
• Watchers: 5
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# SAM-Med2D

The official codebase has been transferred to [OpenGVLab/SAM-Med2D](https://github.com/OpenGVLab/SAM-Med2D) for better follow-up maintenance!

## Hiring & Global Collaboration

- **Hiring:** We are hiring researchers, engineers, and interns in General Vision Group, Shanghai AI Lab. If you are interested in Medical Foundation Models and General Medical AI, including designing benchmark datasets, general models, evaluation systems, and efficient tools, please contact us.

- **Global Collaboration:** We're on a mission to redefine medical research, aiming for a more universally adaptable model. Our passionate team is delving into foundational healthcare models, promoting the development of the medical community. Collaborate with us to increase competitiveness, reduce risk, and expand markets.

- **Contact:** Junjun He([email protected]), Jin Ye([email protected]), and Tianbin Li ([email protected]).

## Reference

If you find our SAM-Med2D helpful in your project, please kindly cite:

```

@misc{cheng2023sammed2d,

      title={SAM-Med2D}, 

      author={Junlong Cheng and Jin Ye and Zhongying Deng and Jianpin Chen and Tianbin Li and Haoyu Wang and Yanzhou Su and

              Ziyan Huang and Jilong Chen and Lei Jiangand Hui Sun and Junjun He and Shaoting Zhang and Min Zhu and Yu Qiao},

      year={2023},

      eprint={2308.16184},

      archivePrefix={arXiv},

      primaryClass={cs.CV}

}

```