SSC
This is a PyTorch implementation for the method Stain Standardization Capsule presented in the paper:
Yushan Zheng, Zhiguo Jiang*, Haopeng Zhang, Fengying Xie, Dingyi Hu, Shujiao Sun, Jun Shi, and Chenghai Xue, Stain standardization capsule (SSC) for application-driven histopathological image normalization, IEEE Journal of Biomedical and Health Informatics, 2021, 25(2):337-347.
Run
python main.py [image-folder with train and val lists] \
--use-ssc --weighted-sample
use multiple GPUs:
python main.py [image-folder with train and val lists] \
--use-ssc --weighted-sample \
--dist-url 'tcp://localhost:10001' --dist-backend 'nccl' --multiprocessing-distributed --world-size 1 --rank 0
Cite
@article{zheng2020stain,
author = {Zheng, Yushan and Jiang, Zhiguo and Zhang, Haopeng and Xie, Fengying and Hu, Dingyi
and Sun, Shujiao and Shi, Jun and Xue, Chenghai},
title = {Stain standardization capsule for application-driven histopathological image normalization},
journal = {IEEE Journal of Biomedical and Health Informatics},
volume = {25},
number = {2},
pages = {337--347}
year = {2021},
}