Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy : a multi-ethnic study

Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy : a multi-ethnic study

In any community, the key to understanding the burden of a specific condition is to conduct an epidemiological study. The deep learning system (DLS) recently showed promising diagnostic performance for diabetic retinopathy (DR). This study aims to use DLS as the grading tool, instead of human assess...

Full description

Bibliographic Details
Main Authors: Ting, Daniel S. W., Cheung, Carol Y., Nguyen, Quang, Sabanayagam, Charumathi, Lim, Gilbert, Lim, Zhan Wei, Tan, Gavin S. W., Soh, Yu Qiang, Schmetterer, Leopold, Wang, Ya Xing, Jonas, Jost B., Varma, Rohit, Lee, Mong Li, Hsu, Wynne, Lamoureux, Ecosse, Cheng, Ching-Yu, Wong, Tien Yin
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Journal Article
Language:English
Published: 2020
Subjects:
Science::Medicine
Estimating
Diabetic Retinopathy
Online Access:https://hdl.handle.net/10356/142447

Internet

https://hdl.handle.net/10356/142447

Similar Items