论文标题
图像合成的生成对抗网络
Generative Adversarial Network for Image Synthesis
论文作者
论文摘要
本章回顾了生成对抗网络（GAN）基于医学和生物医学图像综合任务的方法的最新发展。根据网络体系结构设计，将这些方法分类为条件gan和循环gan。对于每个类别，都会进行文献调查，其中涵盖了网络体系结构设计的讨论，突出了重要的贡献并确定了特定的挑战。
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.
