Please use this identifier to cite or link to this item: https://doi.org/10.1016/s2589-7500(20)30063-7
Title: A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations
Authors: Sabanayagam, Charumathi 
Xu, Dejiang 
Ting, Daniel SW
Nusinovici, Simon
Banu, Riswana
Hamzah, Haslina
Lim, Cynthia
Tham, Yih-Chung 
Cheung, Carol Y
Tai, E Shyong 
Wang, Ya Xing
Jonas, Jost B
Cheng, Ching-Yu 
Lee, Mong Li 
Hsu, Wynne 
Wong, Tien Y 
Issue Date: Jun-2020
Publisher: Elsevier BV
Citation: Sabanayagam, Charumathi, Xu, Dejiang, Ting, Daniel SW, Nusinovici, Simon, Banu, Riswana, Hamzah, Haslina, Lim, Cynthia, Tham, Yih-Chung, Cheung, Carol Y, Tai, E Shyong, Wang, Ya Xing, Jonas, Jost B, Cheng, Ching-Yu, Lee, Mong Li, Hsu, Wynne, Wong, Tien Y (2020-06). A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations. The Lancet Digital Health 2 (6) : e295-e302. ScholarBank@NUS Repository. https://doi.org/10.1016/s2589-7500(20)30063-7
Source Title: The Lancet Digital Health
URI: https://scholarbank.nus.edu.sg/handle/10635/169193
ISSN: 2589-7500
DOI: 10.1016/s2589-7500(20)30063-7
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