A classification algorithm by combination of feature decomposition and kernel discriminant analysis (KDA) for automatic MR brain image classification and AD diagnosis

DOI10.1155/2019/1437123zbMATH Open1431.92082OpenAlexW2998378744WikidataQ89821102 ScholiaQ89821102MaRDI QIDQ2299896

Yanyan Li

Publication date: 24 February 2020

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/1437123

zbMATH Keywords

classification algorithmAlzheimer's disease diagnosisMR brain image classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55)

Cites Work

• Least angle regression. (With discussion)

Uses Software

• RAPSearch2

This page was built for publication: A classification algorithm by combination of feature decomposition and kernel discriminant analysis (KDA) for automatic MR brain image classification and AD diagnosis

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q2299896)