id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
american_scientific_journal-12111	Tobi Titus Oyekanmi; Peter Oluwasayo Adigun; Ayodeji Adedotun Adeniyi	Design and Evaluation of a Convolutional Neural Network Model for Automated Detection of Diabetic Retinopathy Using Retinal Fundus Photographs	2025	17	.pdf	application/pdf	3895	159	27	CNN model The training process was optimized using three key Keras callbacks to enhance model performance and prevent overfitting. CNN model was a Sequential Convolutional Neural Network (CNN), which was built within TensorFlow and trained using convolutional, pooling, and fully connected layers optimized for multi-class classification.	cache/american_scientific_journal-12111.pdf	txt/american_scientific_journal-12111.txt