生成式对抗网络在医学图像处理中的应用  

Applications of generative adversarial networks in medical image processing

作　　者：潘丹[1,2] 贾龙飞 曾安 Song Xiaowei[5] PAN Dan;JIA Longfei;ZENG An;SONG Xiaowei(Modern Education Technology Center,Guangdong Construction Polytechnic,Guangzhou 510440,P.R.China;Guangzhou Benzhen Networks Technology Co.Ltd.,Guangzhou 510000,P.R.China;Faculty of Computer,Guangdong University of Technology,Guangzhou 510006,P.R.China;Guangdong Key Laboratory of Big Data Analysis and Processing,Guangzhou 510006,P.R.China;Irnage Tech Lab,Simon Fraser University,Vancouver V6B 5K3,Canada)

机构地区：[1]广东建设职业技术学院现代教育技术中心,广州510440 [2]广州市本真网络科技有限公司,广州510000 [3]广东工业大学计算机学院,广州510006 [4]广东省大数据分析与处理重点实验室,广州510006 [5]西蒙弗雷泽大学影像技术实验室

出　　处：《生物医学工程学杂志》2018年第6期970-976,共7页Journal of Biomedical Engineering

基　　金：国家自然科学基金项目(61772143,61300107);广东省自然科学基金项目(S2012010010212);广州市科技计划项目(201601010034,201804010278);广东省大数据分析与处理重点实验室开放基金项目资助(201801).

摘　　要：近年来,研究人员将众多领域方法引入到医学图像处理中。经过不断改进,医学图像处理算法的效果和效率均得到不同程度的提高。目前,生成式对抗网络(GAN)在医学图像处理领域中的应用研究发展迅速。本文主要综述了GAN在医学图像处理中的应用研究情况,介绍了GAN的基本概念,并从医学图像降噪、检测、分割、合成、重建和分类等六个方面对GAN应用研究的最新进展进行了归纳总结,最后对该领域中值得进一步研究的方向进行了展望。In recent years,researchers have introduced various methods in many domains into medical image processing so that its effectiveness and efficiency can be improved to some extent.The applications of generative adversarial networks (GAN)in medical image processing are evolving very fast.In this paper,the state of the art in this area has been reviewed.Firstly,the basic concepts of the GAN were introduced.And then,from the perspectives of the medical image denoising,detection,segmentation,synthesis,reconstruction and classification,the applications of the GAN were summarized.Finally,prospects for further research in this area were presented.

关 键 词：生成式对抗网络 医学图像 深度学习 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]