Metaheuristic-based Deep COVID-19 Screening Model from Chest X-Ray Images

Table 2

Validation analysis of the metaheuristic-based deep learning models.

Models	Accuracy	F-measure	Sensitivity	Specificity	Area under the curve
SPEA-II-based VGG19	0.97735	0.97623	0.97565	0.97789	0.97678
SPEA-II-based VGG16	0.98611	0.98302	0.98269	0.98637	0.98454
SPEA-II-based ResNet50	0.97577	0.99151	0.99121	0.97658	0.98371
SPEA-II-based AlexNet	0.99304	0.99660	0.99651	0.99323	0.99484
SPEA-II-based ResNet-34	0.97923	0.99830	0.99823	0.98843	0.98886
SPEA-II-based GoogleNet	0.98437	0.98641	0.98608	0.98474	0.98540
SPEA-II-based InceptionNet	0.99651	0.98981	0.98961	0.99658	0.99312
SPEA-II-based DenseNet201	0.97409	0.98981	0.98947	0.97491	0.98202
SPEA-II-based Xception	0.98784	0.94906	0.94991	0.98763	0.96824
Proposed SPEA-II based model	0.99130	0.99490	0.99476	0.99154	0.99312