Deep Learning–Based Biomarkers for Early Detection of Alzheimer’s Disease: A Multicenter Study
Abstract
Alzheimer’s disease is a progressive neurodegenerative disorder characterised by decline in cognitive function and memory multiple cognitive domains. Early detection is critical for effective intervention. We introduce a cross-centre deep learning framework for multicenter MRI analysis and report performance across independent datasets.
Keywords: Alzheimer’s disease, deep learning, MRI, biomarker, early detection.