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

Table 1

Training analysis of the metaheuristic-based deep learning models.

Models	Accuracy	F-measure	Sensitivity	Specificity	Area under the curve
SPEA-II-based VGG19	0.97227	0.97623	0.97565	0.97292	0.97427
SPEA-II-based VGG16	0.99127	0.98302	0.98269	0.99143	0.98709
SPEA-II-based ResNet50	0.98601	0.99151	0.99121	0.98648	0.98880
SPEA-II-based AlexNet	0.99304	0.99660	0.99651	0.99323	0.99484
SPEA-II-based ResNet-34	0.98786	0.99830	0.99824	0.98823	0.99313
SPEA-II-based GoogleNet	0.98952	0.98641	0.98608	0.98977	0.98795
SPEA-II-based InceptionNet	0.99825	0.98981	0.98961	0.99828	0.99397
SPEA-II-based DenseNet201	0.98257	0.98981	0.98947	0.98313	0.98624
SPEA-II-based Xception	0.99475	0.94906	0.94991	0.99466	0.97157
Proposed SPEA-II-based model	0.99976	0.99890	0.99976	0.99890	0.99883