GANs for medical image analysis
作者：
Highlights：
• Review of generative adversarial networks (GANs) and methods involving GANs for medical image analysis.
• Identification of different research directions to which GANs contribute, i.e. synthesis of medical images for data augmentation.
• 79 innovative GAN-based papers in medical applications are summarized and discussed.
• Live tree: http://livingreview.in.tum.de/GANs_for_Medical_Applications/.
摘要
•Review of generative adversarial networks (GANs) and methods involving GANs for medical image analysis.•Identification of different research directions to which GANs contribute, i.e. synthesis of medical images for data augmentation.•79 innovative GAN-based papers in medical applications are summarized and discussed.•Live tree: http://livingreview.in.tum.de/GANs_for_Medical_Applications/.
论文关键词：Generative adversarial networks,Deep learning,Medical imaging,Survey
论文评审过程：Received 29 October 2019, Revised 30 July 2020, Accepted 7 August 2020, Available online 9 August 2020, Version of Record 5 October 2020.
论文官网地址：https://doi.org/10.1016/j.artmed.2020.101938
