Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB - retrained AlexNet convolutional neural network.

Isaac Arias-Serrano Paolo A Velásquez-López Laura N Avila-Briones Fanny C Laurido-Mora Fernando Villalba-Meneses Andrés Tirado-Espín Jonathan Cruz-Varela Diego A Almeida-Galárraga

Published in: F1000Research (2024)

This study demonstrates the efficacy of using a MATLAB-retrained AlexNet CNN for detecting glaucoma and diabetic retinopathy. It emphasizes the need for automated early detection tools, proposing CNNs as accessible solutions without replacing existing technologies.

Keyphrases

diabetic retinopathy
convolutional neural network
deep learning
artificial intelligence
machine learning
optical coherence tomography
big data
optic nerve
high throughput
loop mediated isothermal amplification
label free
single cell
sensitive detection