Research of Low-Rank Representation and Discriminant Correlation Analysis for Alzheimer’s Disease Diagnosis
Joint Authors
Li, Zhigang
Dong, Aimei
Zhou, Jing
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-19
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
As population aging is becoming more common worldwide, applying artificial intelligence into the diagnosis of Alzheimer’s disease (AD) is critical to improve the diagnostic level in recent years.
In early diagnosis of AD, the fusion of complementary information contained in multimodality data (e.g., magnetic resonance imaging (MRI), positron emission tomography (PET), and cerebrospinal fluid (CSF)) has obtained enormous achievement.
Detecting Alzheimer’s disease using multimodality data has two difficulties: (1) there exists noise information in multimodal data; (2) how to establish an effective mathematical model of the relationship between multimodal data? To this end, we proposed a method named LDF which is based on the combination of low-rank representation and discriminant correlation analysis (DCA) to fuse multimodal datasets.
Specifically, the low-rank representation method is used to extract the latent features of the submodal data, so the noise information in the submodal data is removed.
Then, discriminant correlation analysis is used to fuse the submodal data, so the complementary information can be fully utilized.
The experimental results indicate the effectiveness of this method.
American Psychological Association (APA)
Li, Zhigang& Dong, Aimei& Zhou, Jing. 2020. Research of Low-Rank Representation and Discriminant Correlation Analysis for Alzheimer’s Disease Diagnosis. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1139467
Modern Language Association (MLA)
Li, Zhigang…[et al.]. Research of Low-Rank Representation and Discriminant Correlation Analysis for Alzheimer’s Disease Diagnosis. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1139467
American Medical Association (AMA)
Li, Zhigang& Dong, Aimei& Zhou, Jing. Research of Low-Rank Representation and Discriminant Correlation Analysis for Alzheimer’s Disease Diagnosis. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1139467
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139467