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

• 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: Article
• Language: English
• Published: 2020
• Subjects: Science::Medicine; Estimating; Diabetic Retinopathy
• Online Access: https://hdl.handle.net/10356/142447
• Institution: Nanyang Technological University

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...