Application of deep learning image assessment software VeriSee™ for diabetic retinopathy screening

202060 citationsJournal Articlegold Open Access

Authors

Yi‐Ting Hsieh · National Taiwan University Hospital

Lee‐Ming Chuang · National Taiwan University

Yi‐Der Jiang · National Taiwan University Hospital

Tien‐Jyun Chang · National Taiwan University Hospital

Chung‐May Yang · National Yang Ming Chiao Tung University

Chang‐Hao Yang · National Taiwan University Hospital

Li-Wei Chan

Abstract

VeriSee™ had good sensitivity and specificity in grading the severity of DR from color fundus images. It may offer clinical assistance to non-ophthalmologists in DR screening with nonmydriatic retinal fundus photography.

Topics & Keywords

Retinal Imaging and Analysis Retinal Diseases and Treatments Glaucoma and retinal disorders

Publication Details

Published in: Journal of the Formosan Medical Association

Volume 120, Issue 1, pp. 165-171

DOI: 10.1016/j.jfma.2020.03.024

Field-Weighted Citation Impact: 4.12

Command Palette

Application of deep learning image assessment software VeriSee™ for diabetic retinopathy screening

Authors

Abstract

Topics & Keywords

Publication Details