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Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging

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brain-synthesis-lesion-segmentation

Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging

https://arxiv.org/abs/1807.10225

The original paper used the BRATS'15 Challenge dataset and ADNI dataset, and PyTorch. This repository has been modified for NVIDIA DLI workshop on GAN for Medical Imaging, to use ISLES'18 Challenge dataset and TensorFlow.

The method is based on pix2pix and the code is based on its TensorFlow implementation.

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Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging

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  • Python 66.1%
  • Jupyter Notebook 33.9%