Table 3.

Precision, recall, and F-measure of the convolutional neural networks

Parameters		Precision	Recall	F1 score
MobileNetV2
	Glioma	0.97	0.94	0.95
	Meningioma	0.93	0.97	0.95
	Pituitary	0.99	0.98	0.99
	No tumour	0.97	0.98	0.97
GoogleNet
	Glioma	0.97	0.95	0.96
	Meningioma	0.98	0.97	0.97
	Pituitary	0.98	0.99	0.99
	No tumour	0.94	0.98	0.96
Xception
	Glioma	0.96	0.92	0.94
	Meningioma	0.94	0.93	0.93
	Pituitary	0.94	0.98	0.96
	No tumour	0.92	0.95	0.93
DenseNet-BC
	Glioma	0.92	0.91	0.92
	Meningioma	0.91	0.92	0.92
	Pituitary	0.98	1.00	0.99
	No tumour	0.95	0.92	0.93
MobileNetV2 with meta pseudo labels
	Glioma	0.90	0.94	0.92
	Meningioma	0.94	0.91	0.92
	Pituitary	0.97	0.99	0.98
	No tumour	0.95	0.89	0.92
ResNet-50
	Glioma	0.94	0.90	0.92
	Meningioma	0.82	0.98	0.89
	Pituitary	0.98	0.96	0.97
	No tumour	0.98	0.71	0.82
SqueezeNet
	Glioma	0.88	0.77	0.82
	Meningioma	0.81	0.89	0.85
	Pituitary	0.91	0.97	0.94
	No tumour	0.94	0.83	0.88
ShuffleNet
	Glioma	0.78	0.81	0.79
	Meningioma	0.76	0.76	0.76
	Pituitary	0.92	0.95	0.93
	No tumour	0.86	0.72	0.79
VGG-16
	Glioma	0.96	0.53	0.69
	Meningioma	0.69	0.88	0.77
	Pituitary	0.87	0.97	0.92
	No tumour	0.67	0.79	0.72
AlexNet
	Glioma	0.60	0.96	0.74
	Meningioma	0.93	0.34	0.49
	Pituitary	0.98	0.94	0.96
	No tumour	0.70	0.90	0.79
Enet
	Glioma	0.71	0.66	0.68
	Meningioma	0.66	0.74	0.70
	Pituitary	0.89	0.82	0.85
	No tumour	0.75	0.79	0.77
EfficientNetB0
	Glioma	0.71	0.50	0.59
	Meningioma	0.64	0.72	0.68
	Pituitary	0.81	0.89	0.85
	No tumour	0.64	0.69	0.66