BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification

Table 4

Detailed result after feature fusion.

Fusion detail results
Classifiers	Sensitivity	FNR	Precision	FPR	AUC
Fine tree	92.575	7.425	92.575	0.0275	0.925
Linear discriminant	95.7	4.3	95.775	0.0125	0.9575
Cubic SVM	96.75	3.25	96.75	0.01	0.97
Boosted trees	92.5	7.5	92.8	0.0225	0.925
Bagged tree	94.475	5.525	94.55	0.02	0.945
Subspace discriminant	95.45	4.55	95.45	0.015	0.9525
Narrow neural network	93.9	6.1	93.9	0.02	0.94
Medium neural network	94.425	5.575	94.425	0.02	0.9425
Wide neural network	95.375	4.625	95.375	0.015	0.955