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

MatLab codes and scripts related to image processing, pre-processing & Training versions of the AlexNet Convolutional Neural Network (NetTransfers I-V) -The following files and functions are deeper described in the "README.txt" file: IMAGE PRE-PROCESSING "Converter_227_final.m" Add a red color filter to grayscale images (grs2rgb by Valeriy Korostyshevskiy) Crop black areas from images Resize images (227x227 pixels) IMAGE PROCESSING "CodigoAlterno.m" Code for retraining of convolutional neural networks based on AlexNet pre-trained network DATASETS USED IN THIS WORK SPECIFICATIONS OF THE DATA USED FOR RETRAINING EACH VERSION OF THE CNN FINALL TRAINING VERSIONS OF THE CNN - RELATED TO THE EVALUATION OF EYE DISEASES. Note: Codes are additionally available on GitHub. On the other hand, the trainings of the convolutional neural network are not subject to changes or modifications (netTransfer I-V) and will only be available in this repository. PLEASE CITATE AS: Arias-Serrano I, Velásquez-López PA, Avila-Briones LN et al. Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB — retrained AlexNet convolutional neural network [version 1; peer review: 1 approved with reservations]. F1000Research 2023, 12:14 (https://doi.org/10.12688/f1000research.122288.1