COVID-19 Diagnosis Using an Enhanced Inception-ResNetV2 Deep Learning Model in CXR Images

Table 7

Average classification results for the classification task of the new release of the dataset.

Model	Accuracy (%)	F1-score (%)	Precision (%)	Recall (%)	Training time (s)	Testing time (s)
Inception-ResNetV2	97.23	96.35	96.75	96.00	3449	10.78
Xception	50.66	32.02	29.27	30.50	2942	5.74
VGG16	98.29	97.30	97.48	97.12	1833	4.85
ResNet50V2	55.48	50.37	48.65	56.64	1496	5.85
InceptionV3	98.42	97.64	97.67	97.62	1587	5.70
MobileNetV2	98.15	97.11	96.91	97.32	1406	4.64
DenseNet121	98.88	98.18	97.61	98.78	1938	4.89
ResNet101V2	98.62	97.93	97.60	98.27	2441	6.59