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.
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-08-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-25138-w |
| _version_ | 1819200341613215744 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-23T03:30:42Z |
| format | Article |
| id | doaj.art-4c7c07a2c364450198f1cb498b11fe80 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-23T03:30:42Z |
| publishDate | 2021-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-4c7c07a2c364450198f1cb498b11fe802022-12-21T18:01:41ZengNature PortfolioNature 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 |
| 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 |
| title | 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_short | 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 |
| url | https://doi.org/10.1038/s41467-021-25138-w |
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