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TW-GAN: Topology and Width Aware GAN for Retinal Artery/Vein Classification

This repository is an official PyTorch implementation of the paper "TW-GAN: Topology and width aware GAN for retinal artery/vein classification" [paper] from Medical Image Analysis 2022.

TW-GAN

  • In this paper, we propose a novel Topology and Width Aware Generative Adversarial Network (named as TW-GAN), which, for the first time, integrates the topology connectivity and vessel width information into the deep learning framework for A/V classification.
  • To improve the topology connectivity, a topology-aware module is proposed, which contains a topology ranking discriminator based on ordinal classification to rank the topological connectivity level of the ground-truth mask, the generated A/V mask and the intentionally shuffled mask.
  • In addition, a topology preserving triplet loss is also proposed to extract the high-level topological features and further to narrow the feature distance between the predicted A/V mask and the ground-truth mask.
  • Moreover, to enhance the model’s perception of vessel width, a width-aware module is proposed to predict the width maps for the dilated/non-dilated ground-truth masks.

Prequisites

You can "pip install" the packages in "./requirement.txt"

Dataset

  • To prepare the dataset, you can download AV-DRIVE and HRF datasets from google drive.
  • Please place dataset in ./data directory.
  • ./data folder includes the datasets for AV-DRIVE and HRF, their corresponding centerline distance maps and shuffled masks.

** The A/V label for HRF dataset is mannually labeled by us.

Data preprocessing

To prepare the centerline distance map and shuffled A/V label for dataset, please run:

    sh ./launch/preprocess_data.sh

(The downloaded "./data" folder includes the processed centerline distance map and shuffled A/V label. So you don't need to run it if you download it.)

Usage

Please make a new "log" folder first:

    mkdir log

For AV-DRIVE dataset

  • Train:
    sh ./launch/train_AV_DRIVE.sh
  • Test:
    sh ./launch/test_AV_DRIVE.sh

For HRF dataset

  • Train:
    sh ./launch/train_HRF.sh
  • Test:
    sh ./launch/test_HRF.sh

Pretrained models

Please download the pretrained models from google drive
To test the pretrained model, you can change the ./config/config_test_HRF.py or ./config/config_test_AV_DRIVE.py :

model_path_pretrained_G = './pretrained_model_path'

Cite

If you find our work useful in your research or publication, please cite our work:

@article{CHEN2022102340,
title = {TW-GAN: Topology and width aware GAN for retinal artery/vein classification},
journal = {Medical Image Analysis},
volume = {77},
pages = {102340},
year = {2022},
issn = {1361-8415},
doi = {https://doi.org/10.1016/j.media.2021.102340},
author = {Wenting Chen and Shuang Yu and Kai Ma and Wei Ji and Cheng Bian and Chunyan Chu and Linlin Shen and Yefeng Zheng}
}

Contact

If you have any question, please feel free to contact me. ^_^ wentichen7-c[at]my.cityu.edu.hk