Table 11.

MRI brain tumor classification performance metrics for CNN + mFA approach [10].

		TP	FP	TN	FN	TPR	TNR	PPV	NPV	FPR	FNR	FDR	ACC	F1
DATASET 1
Normal		474	52	1448	26	0.948	0.965	0.901	0.982	0.035	0.052	0.099	0.961	0.924
Grade II		471	33	1467	29	0.942	0.978	0.935	0.981	0.022	0.058	0.065	0.969	0.938
Grade III		452	27	1473	48	0.904	0.982	0.944	0.968	0.018	0.096	0.056	0.963	0.924
Grade IV		463	28	1472	37	0.926	0.981	0.943	0.975	0.019	0.074	0.057	0.967	0.934
DATASET 2
Glioma		110	8	222	5	0.957	0.965	0.932	0.978	0.035	0.043	0.068	0.962	0.944
Meningioma		111	4	226	4	0.965	0.983	0.965	0.983	0.017	0.035	0.035	0.977	0.965
Pituitary		111	1	229	4	0.965	0.996	0.991	0.983	0.004	0.035	0.009	0.986	0.978