A Deep Learning System for Fully Automated Retinal Vessel Measurement in High Throughput Image Analysis

A Deep Learning System for Fully Automated Retinal Vessel Measurement in High Throughput Image Analysis

MotivationRetinal microvasculature is a unique window for predicting and monitoring major cardiovascular diseases, but high throughput tools based on deep learning for in-detail retinal vessel analysis are lacking. As such, we aim to develop and validate an artificial intelligence system (Retina-bas...

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Bibliographic Details
Main Authors: Danli Shi, Zhihong Lin, Wei Wang, Zachary Tan, Xianwen Shang, Xueli Zhang, Wei Meng, Zongyuan Ge, Mingguang He
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
artificial intelligence
automated analysis
hierarchical vessel morphology
cardiovascular disease
epidemiology
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.823436/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.823436/full

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