A deep learning system for detecting diabetic retinopathy across the disease spectrum
As the leading cause of vision loss in working-age adults, diabetic retinopathy requires routinely retinal screening. Here the authors develop a deep learning system that can facilitate the screening by providing real-time image quality assessment, lesions detection, and grades across the disease sp...
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Nature Portfolio
2021
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oai:doaj.org-article:9b6fe22a5fcf4cf2bbd009201fd7d87f2021-12-02T15:00:49ZA deep learning system for detecting diabetic retinopathy across the disease spectrum10.1038/s41467-021-23458-52041-1723https://doaj.org/article/9b6fe22a5fcf4cf2bbd009201fd7d87f2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23458-5https://doaj.org/toc/2041-1723As the leading cause of vision loss in working-age adults, diabetic retinopathy requires routinely retinal screening. Here the authors develop a deep learning system that can facilitate the screening by providing real-time image quality assessment, lesions detection, and grades across the disease spectrum.Ling DaiLiang WuHuating LiChun CaiQiang WuHongyu KongRuhan LiuXiangning WangXuhong HouYuexing LiuXiaoxue LongYang WenLina LuYaxin ShenYan ChenDinggang ShenXiaokang YangHaidong ZouBin ShengWeiping JiaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Science Q |
| spellingShingle |
Science Q Ling Dai Liang Wu Huating Li Chun Cai Qiang Wu Hongyu Kong Ruhan Liu Xiangning Wang Xuhong Hou Yuexing Liu Xiaoxue Long Yang Wen Lina Lu Yaxin Shen Yan Chen Dinggang Shen Xiaokang Yang Haidong Zou Bin Sheng Weiping Jia A deep learning system for detecting diabetic retinopathy across the disease spectrum |
| description |
As the leading cause of vision loss in working-age adults, diabetic retinopathy requires routinely retinal screening. Here the authors develop a deep learning system that can facilitate the screening by providing real-time image quality assessment, lesions detection, and grades across the disease spectrum. |
| format |
article |
| author |
Ling Dai Liang Wu Huating Li Chun Cai Qiang Wu Hongyu Kong Ruhan Liu Xiangning Wang Xuhong Hou Yuexing Liu Xiaoxue Long Yang Wen Lina Lu Yaxin Shen Yan Chen Dinggang Shen Xiaokang Yang Haidong Zou Bin Sheng Weiping Jia |
| author_facet |
Ling Dai Liang Wu Huating Li Chun Cai Qiang Wu Hongyu Kong Ruhan Liu Xiangning Wang Xuhong Hou Yuexing Liu Xiaoxue Long Yang Wen Lina Lu Yaxin Shen Yan Chen Dinggang Shen Xiaokang Yang Haidong Zou Bin Sheng Weiping Jia |
| author_sort |
Ling Dai |
| title |
A deep learning system for detecting diabetic retinopathy across the disease spectrum |
| title_short |
A deep learning system for detecting diabetic retinopathy across the disease spectrum |
| title_full |
A deep learning system for detecting diabetic retinopathy across the disease spectrum |
| title_fullStr |
A deep learning system for detecting diabetic retinopathy across the disease spectrum |
| title_full_unstemmed |
A deep learning system for detecting diabetic retinopathy across the disease spectrum |
| title_sort |
deep learning system for detecting diabetic retinopathy across the disease spectrum |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/9b6fe22a5fcf4cf2bbd009201fd7d87f |
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