Generative Adversarial Network for Image Synthesis

Richard L.J. Qiu; Tian Liu; Tonghe Wang; Walter J. Curran; Xiaofeng Yang; Yang Lei

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Generative Adversarial Network for Image Synthesis

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arxiv 2012.15446 v1 pith:6GCDFOXM submitted 2020-12-31 physics.med-ph eess.IV

Yang Lei , Richard L.J. Qiu , Tonghe Wang , Walter J. Curran , Tian Liu , Xiaofeng Yang This is my paper

classification physics.med-pheess.IV

keywords networkadversarialarchitecturedesignsgenerativeimagemethodssynthesis

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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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