Table 15.

Results of models trained on COVID-CT and COVID-19 CT & Radiograph Image Data Stock on an additional test set.

	Precision	Recall	F1 score	Accuracy	Binary AUC
COVID-CT
ResNet-18	0.88	0.05	0.10	0.28	0.52
ResNet-50	0.59	0.41	0.48	0.41	0.56
DenseNet-169	0.12	0.02	0.04	0.21	0.43
WideResNet-50	0.64	0.64	0.64	0.53	0.64
DenseNet-121+	0.24	0.10	0.14	0.19	0.38
COVID-19 CT & Radiograph Image Data Stock binary
ResNet-18	0.69	0.83	0.75	0.68	0.73
ResNet-50	0.66	0.61	0.63	0.57	0.65
DenseNet-169	0.62	0.75	0.68	0.64	0.64
WideResNet-50	0.60	0.79	0.69	0.63	0.63
DenseNet-121+	0.52	0.51	0.51	0.49	0.52
COVID-19 CT & Radiograph Image Data Stock multiclass
ResNet-18	0.84	0.72	0.78	0.57	0.79
ResNet-50	0.62	0.58	0.60	0.45	0.61
DenseNet-169	0.68	0.71	0.69	0.67	0.74
WideResNet-50	0.55	0.66	0.60	0.52	0.56
DenseNet-121+	0.69	0.83	0.75	0.68	0.73