Convolutional neural networks for diabetic retinopathy detection

Convolutional neural networks for diabetic retinopathy detection

The early detection of diabetic retinopathy remains a critical challenge in medical diagnostics, with deep learning techniques in artificial intelligence offering promising solutions for identifying pathological patterns in retinal images. This study evaluates and compares the performance of three...

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Bibliographic Details
Main Authors: Darwin Patiño-Pérez, Luis Armijos-Valarezo, Luis Chóez-Acosta, Freddy Burgos-Robalino
Format: Article
Language:English
Published: Universidad Politécnica Salesiana 2025-01-01
Series:Ingenius: Revista de Ciencia y Tecnología
Subjects:
diabetic retinopathy
blindness
early detection
artificial intelligence
convolutional neural networks
ocular image analysis
Online Access:https://revistas.ups.edu.ec/index.php/ingenius/article/view/8846
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https://revistas.ups.edu.ec/index.php/ingenius/article/view/8846

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