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

Table 4

Results comparison of the feature decomposition, KDA, and the proposed method for classification of pMCI vs. sMCI.

Methods	ACC (%)	SEN (%)	SPE (%)	AUC (%)
Feature decomposition	63.46	45.45	76.66	61.32
KDA	63.45	49.29	73.78	68.22
Proposed method	65.94	81.44	54.69	71.02