Table 7.

Five-fold test performance of T2W-MRI Data.

Models	${\partial }_{\mathit{A}\mathit{C}\mathit{C}}$	${\partial }_{\mathit{S}\mathit{E}\mathit{N}}$	${\partial }_{\mathit{S}\mathit{P}\mathit{C}}$	${\partial }_{\mathit{A}\mathit{U}\mathit{C}}$	${\partial }_{\mathit{P}\mathit{P}\mathit{V}}$	${\partial }_{\mathit{N}\mathit{P}\mathit{V}}$
	Mean ± SD	Mean ± SD	Mean ± SD	Mean ± SD	Mean ± SD	Mean ± SD
AlexNet	94.35 ± 0.75	94.56 ± 1.19	94.15 ± 0.68	94.35 ± 0.75	94.26 ± 0.65	94.46 ± 1.15
VGG16	94.76 ± 2.53	94.24 ± 3.01	95.28 ± 2.10	94.76 ± 2.53	95.29 ± 2.15	94.24 ± 2.95
ResNet18	96.45 ± 0.60	96.00 ± 0.57	96.91 ± 0.68	96.46 ± 0.60	96.93 ± 0.67	95.97 ± 0.57
GoogleNet	94.76 ± 1.48	94.40 ± 1.70	95.12 ± 1.29	94.76 ± 1.48	95.16 ± 1.30	94.36 ± 1.68
ResNet50	96.69 ± 0.53	96.64 ± 0.67	96.75 ± 0.57	96.69 ± 0.53	96.80 ± 0.56	96.59 ± 0.67
MajVot Algorithm	97.98 ± 0.86	97.60 ± 0.98	98.37 ± 0.81	97.99 ± 0.85	98.39 ± 0.81	97.58 ± 0.97