Feature selection using kernel PCA for Alzheimer's disease detection with 3D MR Images of brain

Abstract

This paper investigates the application of the kernel PCA to select the features that produced by an extraction feature method, i.e. complete local binary pattern from three orthogonal planes. The proposed approach is used to detect Alzheimer's disease using 3D Magnetic Resonance Images (MRI) of brain. In this study, the feature extraction method is done by… (More)

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0204020162017
Citations per Year

Citation Velocity: 12

Averaging 12 citations per year over the last 2 years.

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