Discriminative Learning for Alzheimer's Disease Diagnosis via Canonical Correlation Analysis and Multimodal Fusion

To address the challenging task of diagnosing neurodegenerative brain disease, such as Alzheimer's disease (AD) and mild cognitive impairment (MCI), we propose a novel method using discriminative feature learning and canonical correlation analysis (CCA) in this paper. Specifically, multimodal f...

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Detalles Bibliográficos
Autores principales: Lei, Baiying, Chen, Siping, Ni, Dong, Wang, Tianfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868852/
https://www.ncbi.nlm.nih.gov/pubmed/27242506
http://dx.doi.org/10.3389/fnagi.2016.00077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868852/
https://www.ncbi.nlm.nih.gov/pubmed/27242506
http://dx.doi.org/10.3389/fnagi.2016.00077

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