A Hybrid Architecture of CNN–Swin-T Integrated with Attention Mechanism and Explainable AI for Alzheimer’s Disease Classification

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that requires early and accurate diagnosis to improve patient outcomes. In this paper, an attention-enhanced hybrid deep learning (DL) framework is proposed that combines Convolutional Neural Network (CNN) and Swin Transformer (Swi...

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Auteurs principaux:	Saeed Mohsen, Saada Khadragy, Norah Alnaim, Noorah Albehaijan, Ahmed F. Ibrahim
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-06-01
Collection:	Computers
Sujets:	Alzheimer’s disease deep learning CNN swin transformer attention mechanism explainable AI
Accès en ligne:	https://www.mdpi.com/2073-431X/15/6/361
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