Brain MR Image Classification for Alzheimer’s Disease Diagnosis Based on Multifeature Fusion
Joint Authors
Qin, Zhiguang
Xiao, Zhe
Ding, Yi
Lan, Tian
Zhang, Cong
Luo, Chuanji
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-22
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
We propose a novel classification framework to precisely identify individuals with Alzheimer’s disease (AD) or mild cognitive impairment (MCI) from normal controls (NC).
The proposed method combines three different features from structural MR images: gray-matter volume, gray-level cooccurrence matrix, and Gabor feature.
These features can obtain both the 2D and 3D information of brains, and the experimental results show that a better performance can be achieved through the multifeature fusion.
We also analyze the multifeatures combination correlation technologies and improve the SVM-RFE algorithm through the covariance method.
The results of comparison experiments on public Alzheimer’s Disease Neuroimaging Initiative (ADNI) database demonstrate the effectiveness of the proposed method.
Besides, it also indicates that multifeatures combination is better than the single-feature method.
The proposed features selection algorithm could effectively extract the optimal features subset in order to improve the classification performance.
American Psychological Association (APA)
Xiao, Zhe& Ding, Yi& Lan, Tian& Zhang, Cong& Luo, Chuanji& Qin, Zhiguang. 2017. Brain MR Image Classification for Alzheimer’s Disease Diagnosis Based on Multifeature Fusion. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1141971
Modern Language Association (MLA)
Xiao, Zhe…[et al.]. Brain MR Image Classification for Alzheimer’s Disease Diagnosis Based on Multifeature Fusion. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1141971
American Medical Association (AMA)
Xiao, Zhe& Ding, Yi& Lan, Tian& Zhang, Cong& Luo, Chuanji& Qin, Zhiguang. Brain MR Image Classification for Alzheimer’s Disease Diagnosis Based on Multifeature Fusion. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1141971
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141971