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Generative Adversarial Network for Image Synthesis

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 نشر من قبل Tonghe Wang
 تاريخ النشر 2020
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This chapter reviews recent developments of generative adversarial networks (GAN)-based methods for medical and biomedical image synthesis tasks. These methods are classified into conditional GAN and Cycle-GAN according to the network architecture designs. For each category, a literature survey is given, which covers discussions of the network architecture designs, highlights important contributions and identifies specific challenges.



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