A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis

<div>Identified biomarkers of GM density map by using the <i>t</i>-test (a) before and (b) after feature decomposition for pMCI vs. NC classification.</div>

Computational and Mathematical Methods in Medicine

fig13

Figure 13

Figure 13: A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis 

Figure 13 | A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis 