A Novel Computer-Aided Diagnostic System for Early Detection of Diabetic Retinopathy Using 3D-OCT Higher-Order Spatial Appearance Model

A Novel Computer-Aided Diagnostic System for Early Detection of Diabetic Retinopathy Using 3D-OCT Higher-Order Spatial Appearance Model

Early diagnosis of diabetic retinopathy (DR) is of critical importance to suppress severe damage to the retina and/or vision loss. In this study, an optical coherence tomography (OCT)-based computer-aided diagnosis (CAD) method is proposed to detect DR early using structural 3D retinal scans. This s...

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Bibliographic Details
Main Authors: Mohamed Elsharkawy, Ahmed Sharafeldeen, Ahmed Soliman, Fahmi Khalifa, Mohammed Ghazal, Eman El-Daydamony, Ahmed Atwan, Harpal Singh Sandhu, Ayman El-Baz
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Diagnostics
Subjects:
3-D optical coherence tomography (3-D OCT)
diabetic retinopathy (DR)
neural network (NN)
majority voting
computer-aided diagnosis (CAD)
Markov–Gibbs random field model (MGRF)
Online Access:https://www.mdpi.com/2075-4418/12/2/461

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https://www.mdpi.com/2075-4418/12/2/461

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