@inproceedings{peng2020noise,
  title={Noise Robust Learning with Hard Example Aware for Pathological Image classification},
  author={Peng, Ting and Zhu, Chuang and Luo, Yihao and Liu, Jun and Wang, Ying and Jin, Mulan},
  booktitle={2020 IEEE 6th International Conference on Computer and Communications (ICCC)},
  pages={1903--1907},
  year={2020},
  organization={IEEE}
}

$ cd code/
# train label noise dataset and record training history
$ python iter_train.py --cached_data_file='pickle_data/digest_20.p'
# uncomment "detect label noise" code block in iter_train.py and apply label noise detect algorithm
$ python iter_train.py 
# label correction
$ python pre_iter.py
# train neural network on processed label noise dataset (apply different loss functions)
$ python train.py
# co-teaching training
$ python co-teaching.py

@article{wang2020pathological,
  title={Pathological image classification based on hard example guided CNN},
  author={Wang, Ying and Peng, Ting and Duan, Jiajia and Zhu, Chuang and Liu, Jun and Ye, Jiandong and Jin, Mulan},
  journal={IEEE Access},
  volume={8},
  pages={114249--114258},
  year={2020},
  publisher={IEEE}
}