MERU

This code is for the semi-supervised learning method in paper.

Usage

For ACDC dataset

The code in file 'ACDC2017/MERU' is the training and testing script with five-fold cross-validation.

For reproduction, please set your own datapath: --datapath : set your ACDC '--datapath' argument in ACDC2017/MERU/Sup_main.py

Then run:

python Sup_main.py

to do

Codes of compared methods (such as Co-Training, mean-teacher) with the same framework would be released in the future.....

Citation

Please cite the paper if ypu found this repository useful:

@ARTICLE{9921323,  author={Wu, Fuping and Zhuang, Xiahai},  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},   title={Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation},   year={2022},  volume={},  number={},  pages={1-17},  doi={10.1109/TPAMI.2022.3215186}}