3-D PET Image Generation with tumour masks using TGAN

  title={3-D PET Image Generation with tumour masks using TGAN},
  author={Robert V Bergen and Jean-François Rajotte and Fereshteh Yousefirizi and Ivan S. Klyuzhin and Arman Rahmim and Raymond T. Ng},
Training computer-vision related algorithms on medical images for disease diagnosis or image segmentation is difficult due to the lack of training data, labeled samples, and privacy concerns. For this reason, a robust generative method to create synthetic data is highly sought after. However, most three-dimensional image generators require additional image input or are extremely memory intensive. To address these issues we propose adapting video generation techniques for 3D image generation… 

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