Table 10. comparison of classification performance for the proposed method with published methods for AD vs. CN.

Authors	Classifiers	ACC	SEN	SPEC
Zhang et al. [20]	SVM	83.1%	80.5%	85.1%
Lin et al. [22]	MLP	82.86%	77.72%	92.31%
Zhang et al. [23]	KSVM	86.71%	85.71%	86.99%
Chyzhyk et al. [24]	DC	74.25%	96%	52.5%
Proposed method	FC-neural network	87.50%	83.33%	91.70%