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.
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Nature Portfolio
2021
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oai:doaj.org-article:4c7c07a2c364450198f1cb498b11fe802021-12-02T16:27:51ZAutomatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks10.1038/s41467-021-25138-w2041-1723https://doaj.org/article/4c7c07a2c364450198f1cb498b11fe802021-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25138-whttps://doaj.org/toc/2041-1723Systems 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.Ling-Ping CenJie JiJian-Wei LinSi-Tong JuHong-Jie LinTai-Ping LiYun WangJian-Feng YangYu-Fen LiuShaoying TanLi TanDongjie LiYifan WangDezhi ZhengYongqun XiongHanfu WuJingjing JiangZhenggen WuDingguo HuangTingkun ShiBinyao ChenJianling YangXiaoling ZhangLi LuoChukai HuangGuihua ZhangYuqiang HuangTsz Kin NgHaoyu ChenWeiqi ChenChi Pui PangMingzhi ZhangNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021) |
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Science Q 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 |
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. |
format |
article |
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 |
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 Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/4c7c07a2c364450198f1cb498b11fe80 |
work_keys_str_mv |
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