# Swin_MIL_my

**Repository Path**: pimath/Swin_MIL_my

## Basic Information

- **Project Name**: Swin_MIL_my
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-03-02
- **Last Updated**: 2025-03-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Swin_MIL
A new version of implementation has been released, integrating Swin-MIL and SA-MIL together, enhancing the code's usability. You can find it at https://github.com/Nexuslkl/SA-MIL.

The Swin Transformer backbone is initialized by ImageNet-1K pretrain model of Swin-T. The pretrain model mamed "swin_tiny_patch4_window7_224" can be download from https://github.com/microsoft/Swin-Transformer. 

# cite
@article{qian2022transformer,
  title={Transformer based multiple instance learning for weakly supervised histopathology image segmentation},
  author={Qian, Ziniu and Li, Kailu and Lai, Maode and Chang, Eric I and Wei, Bingzheng and Fan, Yubo and Xu, Yan and others},
  journal={arXiv preprint arXiv:2205.08878},
  year={2022}
}