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cyclegan_ct's Introduction

Paper

  • Cycle-consistent adversarial denoising network for multiphase coronary CT angiography

Implementation

A PyTorch implementation of cycleGAN for multiphase coronary CT angiography based on original cycleGAN code. [https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix] (*Thanks for Jun-Yan Zhu and Taesung Park, and Tongzhou Wang.)

  • Requirements
    • OS: The package development version is tested on Windows operating systems with Anaconda.
    • Python 3.5.5
    • PyTorch 0.3.1.post2

Datasets

  • The whole data used in the paper are private data from ASAN medical center, so only 3 test samples are uploaded.
  • CT image files are formated in *.mat.

Main files

  • Training: train.py which is handled by scripts/train_for_cardiac.sh
  • Test: test_for_cardiac.py which is handled by scripts/test_for_cardiac.sh
    • Learned network for Paper is uploaded.

cyclegan_ct's People

Contributors

eunh avatar

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