Robust multitask feature learning for amnestic mild cognitive impairment diagnosis based on multidimensional surface measures

Robust multitask feature learning for amnestic mild cognitive impairment diagnosis based on multidimensional surface measures

Previous studies have shown that amnestic mild cognitive impairment (aMCI) involves in the morphological abnormalities of multiple regions, including cortical thickness, sulcus depth, surface area, gray matter volume, jacobian metric and average curvature. All the measures have unique neuropathologi...

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Bibliographic Details
Main Authors: Leiming Jin, Xuetong Wang, Pengbo Jiang, Qiongling Li, Debin Zeng, Shuyu Li
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:Medicine in Novel Technology and Devices
Subjects:
aMCI
Ensemble classification
Feature selection
Multitask learning
Outlier measurement detection
Online Access:http://www.sciencedirect.com/science/article/pii/S2590093520300096

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http://www.sciencedirect.com/science/article/pii/S2590093520300096

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