Alzheimer disease classification using KPCA , LDA , and multi‐kernel learning SVM-Reference-Cited by-同舟云学术

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Alzheimer disease classification using KPCA , LDA , and multi‐kernel learning SVM

Published:2017-05-18 Issue:2 Volume:27 Page:133-143
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Alam Saruar¹,Kwon Goo‐Rak¹^ORCID,

Affiliation:

1. Department of Information and Communication EngineeringChosun University 375 Seosuk‐DongDong‐GuGwangju501‐759 Korea

Funder

Chosun University

National Institutes of Health

Department of Defense

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22217

Reference42 articles.

1. Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease

2. CSF Biomarkers in Prediction of Cerebral and Clinical Change in Mild Cognitive Impairment and Alzheimer's Disease

3. Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI

4. High Dimensional Classification of Structural MRI Alzheimer?s Disease Data Based on Large Scale Regularization

5. Multimodal classification of Alzheimer's disease and mild cognitive impairment

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