Detection of Alzheimer's disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC-Reference-Cited by-同舟云学术

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Detection of Alzheimer's disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC

Published:2015-08 Issue: Volume:21 Page:58-73
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zhang Yudong,Wang Shuihua,Phillips Preetha,Dong Zhengchao,Ji Genlin,Yang Jiquan

Funder

NSFC

Natural Science Research of Jiangsu Higher Education Institutions

Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing

Nanjing Normal University

NIH

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference46 articles.

1. Selectively and progressively disrupted structural connectivity of functional brain networks in Alzheimer's disease—revealed by a novel framework to analyze edge distributions of networks detecting disruptions with strong statistical evidence;Hahn;NeuroImage,2013

2. Forecasting the global burden of Alzheimer's disease;Brookmeyer;Alzheimer's Dementia,2007

3. Predictive validity and diagnostic stability of mild cognitive impairment subtype;Han;Asian J. Psychiatry,2011

4. Exponential wavelet iterative shrinkage thresholding algorithm with random shift for compressed sensing magnetic resonance imaging;Zhang;IEEJ Trans. Electr. Electron. Eng.,2015

5. Mitochondrial dysfunction as a neurobiological subtype of autism spectrum disorder: evidence from brain imaging;Goh;JAMA Psychiatry,2014

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