A deep learning system for detecting diabetic retinopathy across the disease spectrum

Dai, L; Wu, L; Li, HT; Cai, C; Wu, Q; Kong, HY; Liu, RH; Wang, XN; Hou, XH; Liu, YX; Long, XX; Wen, Y; Lu, LN; Shen, YX; Chen, Y; Shen, DG; Yang, XK; Zou, HD; Sheng, B; Jia, WP

Sheng, B (corresponding author), Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200240, Peoples R China.; Jia, WP (corresponding author), Shanghai Jiao Tong Univ Affiliated Peoples Hosp 6, Shanghai Clin Ctr Diabet, Shanghai Diabet Inst, Dept Endocrinol & Metab, Shanghai 200233, Peoples R China.; Sheng, B (corresponding author), Shanghai Jiao Tong Univ, Artificial Intelligence Inst, MoE Key Lab Artificial Intelligence, Shanghai 200240, Peoples R China.; Zou, HD (corresponding author), Sh

NATURE COMMUNICATIONS, 2021; 12 (1):

Abstract

Retinal screening contributes to early detection of diabetic retinopathy and timely treatment. To facilitate the screening process, we develop a deep ......

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