An efficient approach for differentiating Alzheimer's disease from normal elderly based on multicenter MRI using gray-level invariant features.
Machine learning techniques, along with imaging markers extracted from structural magnetic resonance images, have been shown to increase the accuracy to differentiate patients with Alzheimer's disease (AD) from normal elderly controls. Several forms of anatomical features, such as cortical volu...
Main Authors: | Muwei Li, Kenichi Oishi, Xiaohai He, Yuanyuan Qin, Fei Gao, Susumu Mori, Alzheimer's Disease Neuroimaging Initiative |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4139346?pdf=render |
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