中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network

文献类型:期刊论文

作者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
出版日期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
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).

入库方式: OAI收割

来源:深圳先进技术研究院

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