CycleGAN-based deep learning technique for artifact reduction in fundus photography

被引：0
作者：
Tae Keun Yoo
Joon Yul Choi
Hong Kyu Kim
机构：
[1] Republic of Korea Air Force,Department of Ophthalmology, Medical Research Center, Aerospace Medical Center
[2] Cleveland Clinic,Epilepsy Center, Neurological Institute
[3] Dankook University College of Medicine,Department of Ophthalmology, Dankook University Hospital
来源：
Graefe's Archive for Clinical and Experimental Ophthalmology | 2020年 / 258卷
关键词：
Generative adversarial network; Fundus photography; Artifact; Image quality; Deep learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1631 / 1637
页数：6
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Seo JG(2019)Assessment of deep generative models for high-resolution synthetic retinal image generation of age-related macular degeneration JAMA Ophthalmol 137 258-undefined
[14]  
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