Bi-modality Medical Image Synthesis using Semi-supervised Sequential Generative Adversarial Networks.

IEEE Journal of Biomedical and Health Informatics(2020)

引用 29|浏览41
暂无评分
摘要
In this paper, we propose a bi-modality medical image synthesis approach based on sequential generative adversarial network (GAN) and semi-supervised learning. Our approach consists of two generative modules that synthesize images of the two modalities in a sequential order. A method for measuring the synthesis complexity is proposed to automatically determine the synthesis order in our sequential...
更多
查看译文
关键词
Biomedical imaging,Image synthesis,Gallium nitride,Complexity theory,Training,Task analysis,Generative adversarial networks
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要