An Alzheimer's Disease classification network based on MRI utilizing diffusion maps for multi-scale feature fusion in graph convolution

An Alzheimer's Disease classification network based on MRI utilizing diffusion maps for multi-scale feature fusion in graph convolution

Graph convolutional networks (GCN) have been widely utilized in Alzheimer's disease (AD) classification research due to its ability to automatically learn robust and powerful feature representations. Inter-patient relationships are effectively captured by constructing patients magnetic resonanc...

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Bibliographic Details
Main Authors: Zhi Yang, Kang Li, Haitao Gan, Zhongwei Huang, Ming Shi, Ran Zhou
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
alzheimer's disease
graph convolutional network
deep learning
diffusion maps
metric learning
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024067?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024067?viewType=HTML

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