General CNN model for biomedical image classification via genetic algorithm-based hyperparameter optimization

This study addresses the challenge of hyperparameter selection, a key factor affecting convolutional neural networks (CNNs) performance in biomedical image classification. A genetic algorithm (GA) is employed to optimize activation function, padding, number of filters, kernel size, dropout rate, poo...

Descripció completa

Dades bibliogràfiques

Autors principals:	Ahmet Yilmaz, İlya Kuş
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2026-01-01
Col·lecció:	Ain Shams Engineering Journal
Matèries:	Genetic algorithm Hyperparameter optimization Biomedical image classification Deep learning
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S209044792500632X
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!