Table 4.

Results for COVID-19 classification using CXR images

Model	Accuracy	Type	Precision	Recall	F1 score
Xception [45]	0.79	Macro	0.83	0.82	0.79
		Weighted	0.86	0.79	0.79
VGG16 [21]	0.90	Macro	0.91	0.89	0.90
		Weighted	0.91	0.90	0.90
VGG19 [40]	0.58	Macro	0.29	0.50	0.37
		Weighted	0.33	0.58	0.42
ResNet50 [46]	0.88	Macro	0.90	0.87	0.88
		Weighted	0.89	0.88	0.88
ResNet101 [47]	0.80	Macro	0.79	0.80	0.79
		Weighted	0.81	0.80	0.80
InceptionV3 [33]	0.82	Macro	0.84	0.84	0.82
		Weighted	0.85	0.82	0.82
InceptionResNetV2 [47]	0.95	Macro	0.95	0.95	0.95
		Weighted	0.95	0.95	0.95
MobileNetV2 [47]	0.58	Macro	0.29	0.50	0.37
		Weighted	0.33	0.58	0.42
DenseNet121 [36]	0.91	Macro	0.91	0.92	0.91
		Weighted	0.92	0.91	0.91
DenseNet201 [47]	0.92	Macro	0.93	0.92	0.92
		Weighted	0.92	0.92	0.92
NASNetMobile [47]	0.58	Macro	0.29	0.50	0.37
		Weighted	0.33	0.58	0.42
NASNetLarge [47]	0.42	Macro	0.21	0.50	0.30
		Weighted	0.18	0.42	0.25
ResNet152	0.73	Macro	0.79	0.76	0.72
		Weighted	0.81	0.73	0.72
ResNet50V2	0.89	Macro	0.90	0.89	0.89
		Weighted	0.90	0.89	0.89
ResNet101V2	0.87	Macro	0.87	0.88	0.87
		Weighted	0.88	0.87	0.87
ResNet152V2	0.87	Macro	0.87	0.88	0.87
		Weighted	0.88	0.87	0.87
MobileNet	0.96	Macro	0.96	0.96	0.96
		Weighted	0.96	0.96	0.96
DenseNet169	0.79	Macro	0.80	0.78	0.78
		Weighted	0.79	0.79	0.79
EfficientNetB0	0.95	Macro	0.95	0.95	0.95
		Weighted	0.95	0.95	0.95
EfficientNetB1	0.96	Macro	0.96	0.96	0.96
		Weighted	0.96	0.96	0.96
EfficientNetB2	0.96	Macro	0.96	0.95	0.95
		Weighted	0.96	0.96	0.96
EfficientNetB3	0.96	Macro	0.96	0.95	0.95
		Weighted	0.96	0.96	0.96
EfficientNetB4	0.94	Macro	0.94	0.93	0.94
		Weighted	0.94	0.94	0.94
EfficientNetB5	0.97	Macro	0.96	0.96	0.96
		Weighted	0.97	0.97	0.97
EfficientNetB6	0.95	Macro	0.95	0.95	0.95
		Weighted	0.95	0.95	0.95
EfficientNetB7	0.95	Macro	0.95	0.95	0.95
		Weighted	0.95	0.95	0.95
Proposed	0.99	Macro	0.99	0.99	0.99
		Weighted	0.99	0.99	0.99