Multiple-ResNet GAN: An enhanced high-resolution image generation method for translation from fundus structure image to fluorescein angiography.

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第一作者： Jiahui,Yuan

第一单位： Institute of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China.

作者： Jiahui,Yuan ^[1] ; Weiwei,Gao ^[2] ; Yu,Fang ^[1] ; Haifeng,Zhang ^[1] ; Nan,Song ^[3]

作者单位： Institute of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China. ^[1] Institute of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China. wwgao@sues.edu.cn. ^[2] Department of Ophthalmology, Eye & Ent Hospital of Fudan University, Shanghai, 200031, China. ^[3]

关键词 Fluorescein angiography Fundus structure images Generative adversarial network (GAN)High-resolution Multiple-ResNet

主题词人类(Humans);荧光素血管造影术(Fluorescein Angiography);眼底(Fundus Oculi);图像处理, 计算机辅助(Image Processing, Computer-Assisted);算法(Algorithms)

DOI 10.1007/s11517-024-03191-z

PMID 39264569

发布时间 2025-01-02

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准确一般字义偏差语意偏离译文作用小提交