A hybrid transformer-based approach for early detection of Alzheimer’s disease using MRI images

This study demonstrates the effectiveness of combining transfer learning, Transformer networks, and LSTMs for AD diagnosis. The proposed framework provides a comprehensive analysis that improves classification accuracy, offering a valuable tool for early detection and intervention in clinical practice. These findings highlight the potential for advancing neuroimaging analysis and supporting future research in AD diagnostics.