生成对抗网络在医学图像转换领域的应用

常晓,蔡昕,杨光,聂生东

Applications of Generative Adversarial Networks in Medical Image Translation

Xiao CHANG,Xin CAI,Guang YANG,Sheng-dong NIE

图4 (a) 动态对比度增强的乳腺磁共振图像的超分辨任务[28]；(b)由低剂量PET图像估计全剂量PET图像的CGAN框架[30]；(c)从厚层CT图像中重建出薄层CT图像的CGAN框架[31]. 图中的绿色虚线框中为训练数据对

Fig.4 (a) High-resolution breast DCE MRI reconstruction[28]; (b) CGAN framework for estimating full-dose PET image from low-dose counterpart[30]; (c) CGAN framework for reconstructing thin CT image from thick counterpart[31]. The training image pair is in the green dashed box