Detection of Diabetic Retinopathy Using Extracted 3D Features from OCT Images

Detection of Diabetic Retinopathy Using Extracted 3D Features from OCT Images

Diabetic retinopathy (DR) is a major health problem that can lead to vision loss if not treated early. In this study, a three-step system for DR detection utilizing optical coherence tomography (OCT) is presented. First, the proposed system segments the retinal layers from the input OCT images. Seco...

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Bibliographic Details
Main Authors: Mahmoud Elgafi, Ahmed Sharafeldeen, Ahmed Elnakib, Ahmed Elgarayhi, Norah S. Alghamdi, Mohammed Sallah, Ayman El-Baz
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
diabetic retinopathy
neural networks
thickness
OCT
reflectivity
classification
Online Access:https://www.mdpi.com/1424-8220/22/20/7833

Internet

https://www.mdpi.com/1424-8220/22/20/7833

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