Comparative Analysis of Lightweight Deep Learning Models for Classification of Medical Images

Accurate medical imaging analysis is crucial for clinical decision-making and effective diagnosis. While deep learning has shown impressive results in different vision tasks, including medical image classification tasks, many of these models are designed to be computationally intensive and come with...

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Hlavní autoři:	Omar Elassiouti, Ghada Hamed, Dina Khattab, Hala Ebbied
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Ain Shams University, Faculty of Computer and Information Science 2025-09-01
Edice:	International Journal of Intelligent Computing and Information Sciences
Témata:	Keywords: Medical Imaging Vision Transformers (ViTs) Convolutional Neural Networks (CNNs) Hybrid Models lightweight models
On-line přístup:	https://ijicis.journals.ekb.eg/article_454983_a1b5e8f507fd76f658fb0149ad0eedb4.pdf
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