Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks

Systems for automatic detection of a single disease may miss other important conditions. Here, the authors show a deep learning platform can detect 39 common retinal diseases and conditions.

Bibliographic Details
Main Authors:	Ling-Ping Cen, Jie Ji, Jian-Wei Lin, Si-Tong Ju, Hong-Jie Lin, Tai-Ping Li, Yun Wang, Jian-Feng Yang, Yu-Fen Liu, Shaoying Tan, Li Tan, Dongjie Li, Yifan Wang, Dezhi Zheng, Yongqun Xiong, Hanfu Wu, Jingjing Jiang, Zhenggen Wu, Dingguo Huang, Tingkun Shi, Binyao Chen, Jianling Yang, Xiaoling Zhang, Li Luo, Chukai Huang, Guihua Zhang, Yuqiang Huang, Tsz Kin Ng, Haoyu Chen, Weiqi Chen, Chi Pui Pang, Mingzhi Zhang
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-08-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-021-25138-w

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spelling	doaj-4c7c07a2c364450198f1cb498b11fe802021-08-15T11:39:22ZengNature Publishing GroupNature Communications2041-17232021-08-0112111310.1038/s41467-021-25138-wAutomatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networksLing-Ping Cen0Jie Ji1Jian-Wei Lin2Si-Tong Ju3Hong-Jie Lin4Tai-Ping Li5Yun Wang6Jian-Feng Yang7Yu-Fen Liu8Shaoying Tan9Li Tan10Dongjie Li11Yifan Wang12Dezhi Zheng13Yongqun Xiong14Hanfu Wu15Jingjing Jiang16Zhenggen Wu17Dingguo Huang18Tingkun Shi19Binyao Chen20Jianling Yang21Xiaoling Zhang22Li Luo23Chukai Huang24Guihua Zhang25Yuqiang Huang26Tsz Kin Ng27Haoyu Chen28Weiqi Chen29Chi Pui Pang30Mingzhi Zhang31Joint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongNetwork & Information Centre, Shantou UniversityJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongJoint Shantou International Eye Centre of Shantou University and The Chinese University of Hong KongSystems for automatic detection of a single disease may miss other important conditions. Here, the authors show a deep learning platform can detect 39 common retinal diseases and conditions.https://doi.org/10.1038/s41467-021-25138-w
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Ling-Ping Cen Jie Ji Jian-Wei Lin Si-Tong Ju Hong-Jie Lin Tai-Ping Li Yun Wang Jian-Feng Yang Yu-Fen Liu Shaoying Tan Li Tan Dongjie Li Yifan Wang Dezhi Zheng Yongqun Xiong Hanfu Wu Jingjing Jiang Zhenggen Wu Dingguo Huang Tingkun Shi Binyao Chen Jianling Yang Xiaoling Zhang Li Luo Chukai Huang Guihua Zhang Yuqiang Huang Tsz Kin Ng Haoyu Chen Weiqi Chen Chi Pui Pang Mingzhi Zhang
spellingShingle	Ling-Ping Cen Jie Ji Jian-Wei Lin Si-Tong Ju Hong-Jie Lin Tai-Ping Li Yun Wang Jian-Feng Yang Yu-Fen Liu Shaoying Tan Li Tan Dongjie Li Yifan Wang Dezhi Zheng Yongqun Xiong Hanfu Wu Jingjing Jiang Zhenggen Wu Dingguo Huang Tingkun Shi Binyao Chen Jianling Yang Xiaoling Zhang Li Luo Chukai Huang Guihua Zhang Yuqiang Huang Tsz Kin Ng Haoyu Chen Weiqi Chen Chi Pui Pang Mingzhi Zhang Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks Nature Communications
author_facet	Ling-Ping Cen Jie Ji Jian-Wei Lin Si-Tong Ju Hong-Jie Lin Tai-Ping Li Yun Wang Jian-Feng Yang Yu-Fen Liu Shaoying Tan Li Tan Dongjie Li Yifan Wang Dezhi Zheng Yongqun Xiong Hanfu Wu Jingjing Jiang Zhenggen Wu Dingguo Huang Tingkun Shi Binyao Chen Jianling Yang Xiaoling Zhang Li Luo Chukai Huang Guihua Zhang Yuqiang Huang Tsz Kin Ng Haoyu Chen Weiqi Chen Chi Pui Pang Mingzhi Zhang
author_sort	Ling-Ping Cen
title	Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
title_short	Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
title_full	Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
title_fullStr	Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
title_full_unstemmed	Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
title_sort	automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2021-08-01
description	Systems for automatic detection of a single disease may miss other important conditions. Here, the authors show a deep learning platform can detect 39 common retinal diseases and conditions.
url	https://doi.org/10.1038/s41467-021-25138-w
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Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks

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