Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network

	Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network
	Li, Fei; Wang, Zhe; Qu, Guoxiang; Song, Diping; Yuan, Ye; Xu, Yang; Gao, Kai; Luo, Guangwei; Xiao, Zegu; Lam, Dennis S. C.
刊名	BMC MEDICAL IMAGING
	2018
文献子类	期刊论文
英文摘要	Background: To develop a deep neural network able to differentiate glaucoma from non-glaucoma visual fields based on visual filed (VF) test results, we collected VF tests from 3 different ophthalmic centers in mainland China.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/13470]
专题	深圳先进技术研究院_集成所
推荐引用方式 GB/T 7714	Li, Fei,Wang, Zhe,Qu, Guoxiang,et al. Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network[J]. BMC MEDICAL IMAGING,2018.
APA	Li, Fei.,Wang, Zhe.,Qu, Guoxiang.,Song, Diping.,Yuan, Ye.,...&Zhang, Xiulan.(2018).Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network.BMC MEDICAL IMAGING.
MLA	Li, Fei,et al."Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network".BMC MEDICAL IMAGING (2018).