Table 14.

Test Results of multiclass classifiers on radiograph and CT data from COVID-19 CT & Radiograph Image Data Stock.

	Precision	Recall	F1 score	Accuracy	Binary	Multiclass
					AUC	AUC
CT
ResNet-18	0.82	0.83	0.82	0.73	0.72	0.85
ResNet-50	0.80	0.63	0.70	0.59	0.65	0.74
DenseNet-169	0.78	0.77	0.77	0.69	0.65	0.82
WideResNet-50	0.74	1.00	0.85	0.64	0.99	0.87
DenseNet-121+	0.76	0.82	0.79	0.70	0.64	0.83
Radiograph
ResNet-18	0.70	1.00	0.82	0.65	0.99	0.90
ResNet-50	0.67	1.00	0.80	0.62	0.99	0.89
DenseNet-169	0.74	1.00	0.85	0.58	0.99	0.86
WideResNet-50	0.74	1.00	0.85	0.64	0.99	0.87
DenseNet-121+	0.47	0.94	0.63	0.62	0.94	0.85