Predicting CT-Based Coronary Artery Disease Using Vascular Biomarkers Derived from Fundus Photographs with a Graph Convolutional Neural Network

Predicting CT-Based Coronary Artery Disease Using Vascular Biomarkers Derived from Fundus Photographs with a Graph Convolutional Neural Network

The study population contains 145 patients who were prospectively recruited for coronary CT angiography (CCTA) and fundoscopy. This study first examined the association between retinal vascular changes and the Coronary Artery Disease Reporting and Data System (CAD-RADS) as assessed on CCTA. Then, we...

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Bibliographic Details
Main Authors: Fan Huang, Jie Lian, Kei-Shing Ng, Kendrick Shih, Varut Vardhanabhuti
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Diagnostics
Subjects:
CAD-RADS
coronary artery disease
fundoscopy
fundus image analysis
graph convolutional neural network
Online Access:https://www.mdpi.com/2075-4418/12/6/1390

Internet

https://www.mdpi.com/2075-4418/12/6/1390

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