A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis
Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures.
Autoencoder, clinical data analysis, convolutional neural network, deep learning, early detection, efficientnet, medical diagnostics, MRI brain imaging, neural network architecture, neuroimaging, transfer learning