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Inicio  /  Applied Sciences  /  Vol: 12 Par: 16 (2022)  /  Artículo
ARTÍCULO
TITULO

A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features

Sayed Haggag    
Ahmed Elnakib    
Ahmed Sharafeldeen    
Mohamed Elsharkawy    
Fahmi Khalifa    
Rania Kamel Farag    
Mohamed A. Mohamed    
Harpal Singh Sandhu    
Wathiq Mansoor    
Ashraf Sewelam and Ayman El-Baz    

Resumen

This paper presents a novel deep learning system for the detection and diagnosis of diabetic retinopathy using optical coherence tomography images.

PÁGINAS
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