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<p align="center"> <img width="70%" src="https://github.com/Kent0n-Li/Medical-Image-Segmentation-Benchmark/blob/main/img/medseglogo.png"> </p>

MedSeg: Medical Image Segmentation GUI Toolbox <br> 可视化医学图像分割软件

Get all segmentation baselines without writing any code. <br> 不用写任何代码便可以运行所有分割模型

The current code is designed for Windows, not for Linux.

If you only want to use nnSAM, please install this. <br> 如果你只想运行nnSAM,请访问该代码仓库this

样例数据集:Demo Dataset

Install (安装步骤):

git clone https://github.com/Kent0n-Li/Medical-Image-Segmentation.git
cd Medical-Image-Segmentation
pip install -r requirements.txt

Running visualization software (运行可视化软件)

python web.py

Overview 页面总览

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Choose Model 选择模型

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Import Data 导入你的数据集 (2D: png, 3D: nii.gz)

样例数据集:Demo Dataset

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Full Auto 全自动模式,一键完成从数据预处理到训练测试和结果总结

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Result Summary 结果总结

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Citation

If you find this repository useful for your research, please use the following.

@article{li2023nnsam,
  title={nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance},
  author={Li, Yunxiang and Jing, Bowen and Li, Zihan and Wang, Jing and Zhang, You},
  journal={arXiv preprint arXiv:2309.16967},
  year={2023}
}