We provide the Keras implements based on Tensorflow Backend for REFUGE challenge segmentation task.
- python 3.5
- tensorflow 1.4.0
- keras 2.2.0
- GPU, CUDA
- tqdm
- skimage
- opencv
- scipy
- matplotlib
- Clone this repo:
git clone https://github.com/EmmaW8/pOSAL.git
cd pOSAL
python predict.py
python train_DGS.py
python test_DGS.py
Before running test, please check whether the model weight path is correct.
Acknowledge Some codes are revised according to selimsef/dsb2018_topcoders and HzFu/MNet_DeepCDR. Thank them very much.
@article{wang2019patch,
journal={IEEE Transactions on Medical Imaging},
title={Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation},
author={Wang, Shujun and Yu, Lequan and Yang, Xin and Fu, Chi-Wing and Heng, Pheng-Ann},
year={2019},
volume={38},
number={11},
pages={2485-2495},
publisher={IEEE},
doi={10.1109/TMI.2019.2899910},
}