Enhanced Alzheimer’s Disease Detection Using Transformer-Based GAN and Deep Learning Techniques
An enhanced deep learning framework that integrated a Transformer-based Generative Adversarial Network (TGAN) with an attention-enhanced ResNet-50 architecture for robust multiclass classification of Cognitively Normal, Mild Cognitive Impairment, and Alzheimer’s Disease MRI images is proposed.