We have seen researchers using various types of GANs to synthesize medical data. However, it is hard to train the GANs and also the synthesized images are no good compared to the actual since medical images have a highly localized ROI that can be lost upon synthesis. Are there any promising options other than GANs to faithfully synthesize medical images?

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