Classification of Mild Cognitive Impairment Based on a Combined High-Order Network and Graph Convolutional Network
Detection of early stages of Alzheimer's disease (AD) (i.e., mild cognitive impairment (MCI)) is important because it can delay or prevent progression to AD. The current researches of MCI classification are mainly based on static low-order functional connectivity network (FCN) and image informa...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9003258/ |