Table 12.

Algorithm performance comparison over OASIS and ADNI MRI data.

Approach	Year	Dataset	Classifier	Modalities	AD vs HC
					ACC	SEN	SPEC
Cuingnet et al. [23]	2011	ADNI	SVM	MRI	NA	81%	95%
Cho et al. [25]	2012	ADNI	LDA	MRI	NA	82%	93%
Chyzhyk et al. [17]	2012	OASIS	Kernel-LICA-DC	MRI	74.25	96	52.5
Lama et al. [22]	2017	ADNI	RELM	MRI	77.88	68.85	83.54
Jha and Kwon [19]	2017	OASIS	Sparse autoencoder	MRI	91.6	98.09	84.09
Islam and Zhang [20]	2017	OASIS	Ensemble of deep convolutional neural networks	MRI	93.18	NA	93
Farhan et al. [21]	2014	OASIS	Ensemble of classifier	MRI	93.75	100	87.5
Khajehnejad et al. [18]	2017	OASIS	Semisupervised classifier	MRI	93.86	94.65	93.22
Jha et al. [16]	2018	ADNI	ELM	MRI	90.26	90.27	90.20
		OASIS			95.27	96.59	93.03
Proposed method	2018	NRCD	Softmax classifier	MRI	99.34	98.14	100
	2018	OASIS	Softmax classifier	MRI	98.40	93.75	100