Deep-Ocular: Improved Transfer Learning Architecture Using Self-Attention and Dense Layers for Recognition of Ocular Diseases

Deep-Ocular: Improved Transfer Learning Architecture Using Self-Attention and Dense Layers for Recognition of Ocular Diseases

It is difficult for clinicians or less-experienced ophthalmologists to detect early eye-related diseases. By hand, eye disease diagnosis is labor-intensive, prone to mistakes, and challenging because of the variety of ocular diseases such as glaucoma (GA), diabetic retinopathy (DR), cataract (CT), a...

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Bibliographic Details
Main Authors: Qaisar Abbas, Mubarak Albathan, Abdullah Altameem, Riyad Saleh Almakki, Ayyaz Hussain
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Diagnostics
Subjects:
computer-aided diagnosis
transfer learning
multi-label classification
ocular diseases
diabetic retinopathy
glaucoma
Online Access:https://www.mdpi.com/2075-4418/13/20/3165

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https://www.mdpi.com/2075-4418/13/20/3165

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