A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification

• Published in: Magnetic resonance imaging Vol. 78; pp. 119 - 126
• Main Authors: Zhang, Jie, Zheng, Bowen, Gao, Ang, Feng, Xin, Liang, Dong, Long, Xiaojing
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.05.2021
• Subjects: Aged; Algorithms; Alzheimer Disease - classification; Alzheimer Disease - diagnostic imaging; Alzheimer's disease; Attention mechanism; Convolutional neural network; Databases, Factual; Deep Learning; Early detection; Early Diagnosis; Female; Humans; Imaging, Three-Dimensional - methods; Magnetic Resonance Imaging; Male; Structural MRI; Structural MRI; Attention mechanism; Alzheimer's disease; Convolutional neural network; Early detection

Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative disease. In recent years, machine learning methods have been widely used on analysis of neuroimage for quantitative evaluation and computer-aided diagnosis of AD or prediction on the conversion from mild cognitive impa...