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	Fully automated detection of retinal disorders by image-based deep learning
	Li Feng[1]; Chen Hua[2]; Liu Zheng[3]; Zhang Xuedian[4]; Wu Zhizheng[5]
刊名	Graefe's archive for clinical and experimental ophthalmology
	2019
卷号	257页码:495-505
关键词	Age-related macular degeneration Deep transfer learning Diabetic macular edema Optical coherence tomography Visual geometry group 16 network
ISSN号	1435-702X
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2164514
专题	上海大学
作者单位	1.School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China. 2.Department of Precision Mechanical Engineering, Shanghai University, Shanghai, 200072, China.
推荐引用方式 GB/T 7714	Li Feng[1],Chen Hua[2],Liu Zheng[3],et al. Fully automated detection of retinal disorders by image-based deep learning[J]. Graefe's archive for clinical and experimental ophthalmology,2019,257:495-505.
APA	Li Feng[1],Chen Hua[2],Liu Zheng[3],Zhang Xuedian[4],&Wu Zhizheng[5].(2019).Fully automated detection of retinal disorders by image-based deep learning.Graefe's archive for clinical and experimental ophthalmology,257,495-505.
MLA	Li Feng[1],et al."Fully automated detection of retinal disorders by image-based deep learning".Graefe's archive for clinical and experimental ophthalmology 257(2019):495-505.

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