Title: Synthesis of CT images from digital body phantoms using CycleGAN [dataset]
Subject:  Medicine, Health and Life Sciences
Description: The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data size. We evaluated eleven CycleGAN for the synthesis of computed tomography (CT) images based on XCAT body phantoms
Keywords: CT synthesis; CycleGAN; Generative Adversial Networks; physical modeling; simulation based deep learning