A Deep Learning Architecture for Vascular Area Measurement in Fundus Images

A Deep Learning Architecture for Vascular Area Measurement in Fundus Images

Purpose: To develop a novel evaluation system for retinal vessel alterations caused by hypertension using a deep learning algorithm. Design: Retrospective study. Participants: Fundus photographs (n = 10 571) of health-check participants (n = 5598). Methods: The participants were analyzed using a ful...

Full description

Bibliographic Details
Main Authors: Kanae Fukutsu, MD, Michiyuki Saito, MD, PhD, Kousuke Noda, MD, PhD, Miyuki Murata, PhD, Satoru Kase, MD, PhD, Ryosuke Shiba, Naoki Isogai, Yoshikazu Asano, MD, Nagisa Hanawa, MD, Mitsuru Dohke, MD, Manabu Kase, MD, PhD, Susumu Ishida, MD, PhD
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:Ophthalmology Science
Subjects:
Arteriosclerosis
Deep learning system
Hypertensive retinopathy
Imaging
Retinal arteriolar narrowing
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914521000026

Internet

http://www.sciencedirect.com/science/article/pii/S2666914521000026

Similar Items