Skip to content

HiLab-git/UniSAL

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

UniSAL

Oerall framework

What is UniSAL

UniSAL is a unified semi-supervised active learning framework for efficient labeling.

Prepare the datasets

  1. CRC5000
  2. Chaoyang
  3. CRC100K

Training

Training UniSAL with the following command:

python train_unisal.py

If you find our work useful in your research or if you use parts of this code please consider citing our paper.

@article{zhong2025unisal,
  title={UniSAL: Unified Semi-supervised Active Learning for histopathological image classification},
  author={Zhong, Lanfeng and Qian, Kun and Liao, Xin and Huang, Zongyao and Liu, Yang and Zhang, Shaoting and Wang, Guotai},
  journal={Medical Image Analysis},
  pages={103542},
  year={2025},
  publisher={Elsevier}
}

About

official code for UniSAL

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages