Awesome
<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
Choose Model 选择模型
Import Data 导入你的数据集 (2D: png, 3D: nii.gz)
样例数据集:Demo Dataset
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
Result Summary 结果总结
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}
}