Generative Adversarial Network for Image Synthesis

2020/12/31 by Lei, Yang, Qiu, Richard L. J., Wang, Tonghe +3
#FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Medical Physics (physics.med-ph) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2012.15446

Abstract

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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