A reproducible 3D convolutional neural network with dual attention module (3D-DAM) for Alzheimer's disease classification

arXiv:2310.12574v2 Announce Type: replace-cross
Abstract: Alzheimer's disease is one of the most common types of neurodegenerative disease, characterized by the accumulation of amyloid-beta plaque and tau tangles. Recently, deep learning approaches have shown promise in Alzheimer's disease diagnosis. In this study, we propose a reproducible model that utilizes a 3D convolutional neural network with a dual attention module for Alzheimer's disease classification. We trained the model in the ADNI database and verified the generalizability of our method in two independent …

abstract alzheimer's arxiv attention beta classification convolutional neural network cs.cv dam deep learning diagnosis disease disease diagnosis eess.iv network neural network neurodegenerative disease study type types