Table 8.

Results using features extracted with pre-trained CNNs and an MLP classifier.

Dataset	A	R	P	F	K	AUROC	AUPRC
VGG16
SARS-COV-2 CT-Scan	0.959	0.959	0.959	0.959	0.919	0,959	0,959
COVID-CT	0.877	0.876	0.874	0.875	0.750	0.876	0.874
VGG19
SARS-COV-2 CT-Scan	0.965	0.965	0.966	0.966	0.932	0.966	0.965
COVID-CT	0.863	0.862	0.863	0.862	0.725	0.862	0.861
Xception
SARS-COV-2 CT-Scan	0.957	0.957	0.957	0.957	0.915	0.957	0.957
COVID-CT	0.870	0.870	0.871	0.870	0.741	0.870	0.870
ResNet50
SARS-COV-2 CT-Scan	0.975	0.976	0.975	0.975	0.952	0.975	0.975
COVID-CT	0.823	0.820	0.822	0.821	0.642	0.820	0.821
Inception-v4
SARS-COV-2 CT-Scan	0.949	0.950	0.950	0.949	0.900	0.950	0.949
COVID-CT	0.836	0.833	0.839	0.835	0.670	0.833	0.833

Values in bold indicate the best results for each architecture.