HIC-SYSU / AHDC

TF Implementation of "Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data." IEEE Transactions on Medical Imaging (2021).

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Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data

Authors: Jun Chen, Heye Zhang, Raad Mohiaddin, Tom Wong, David Firmin, Jennifer Keegan, and Guang Yang

image

Introduction

This repository provides the implementation of AHDC on cross-domain data in the following paper:

Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data

IEEE Transactions on Medical Imaging (2021)

Citation

@ARTICLE{9540830,
  author={Chen, Jun and Zhang, Heye and Mohiaddin, Raad and Wong, Tom and Firmin, David and Keegan, Jennifer and Yang, Guang},
  journal={IEEE Transactions on Medical Imaging}, 
  title={Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data}, 
  year={2021},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/TMI.2021.3113678}
 }

Requirement

Tensorflow = 1.9.0;  Python = 3.6

Others

The code comments and detailed usage will be added in the future.

About

TF Implementation of "Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data." IEEE Transactions on Medical Imaging (2021).


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Language:Python 100.0%