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Code and resources for MICCAI paper 'Class-Aware Multi-Window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features'

License: MIT License

Python 100.00%

ca-mw-adversarial-synthesis's Introduction

Code and resources for the paper 'Class-Aware Multi-Window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features'

Under construct

This is the first time we release our experimental source code. The repository is still under construct. Feel free to contact us if you have any suggestion or request.

Qiuli Wang ([email protected])
Wei Chen ([email protected])

How to run

Simply run python main.py. Training options are also provided. Download data before running the code.
Access Code : d33a

Requirements

Tensorflow >= 1.4 The implementation for Tensorflow 2 has not been finished.

References

We borrow some useful code from
1.Conditional GAN
2.DCGAN

Files in '\files' are from LIDC-IDRI-Toolbox-python.

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