Table 17.

Results of binary classifiers trained on COVID-19 CT & Radiograph Image Data Stock and evaluated on COVID-19 CT & Radiograph Image Data Stock multiclass test sets.

	Precision	Recall	F1 score	Accuracy	Binary AUC
Radiograph
ResNet-18	0.76	0.96	0.85	0.50	0.97
ResNet-50	0.57	1.00	0.73	0.50	0.98
DenseNet-169	0.75	0.96	0.84	0.50	0.97
WideResNet-50	0.76	0.96	0.85	0.50	0.97
DenseNet-121+	0.37	0.94	0.53	0.47	0.92
CT
ResNet-18	0.92	0.71	0.80	0.61	0.79
ResNet-50	0.77	0.59	0.67	0.50	0.60
DenseNet-169	0.81	0.82	0.76	0.62	0.69
WideResNet-50	0.80	0.99	0.89	0.78	0.74
DenseNet-121+	0.71	0.67	0.69	0.57	0.55