Table 7.

The comparison of the DCNN-ChOA and other DL models, which have used the COVID-Xray-5 k dataset.

No.	model	Sensitivity (%)	Specificity (%)	Accuracy (%)
1	ResNet18 (Minaee et al., 2020)	98	90.7	–
2	ResNet50 (Minaee et al., 2020)	98	89.6	–
3	SqueezeNet (Ucar & Korkmaz, 2020)	98	92.9	–
4	DenseNet-121 (Sarker et al., 2020)	98	75.1	–
5	ResNet-101 (Tahir et al., 2021)	77.3	71.8	71.9
6	CB-STMRENet (Che Azemin et al., 2020)	–	–	93
7	VGG16 (I. U. Khan & Aslam, 2020)	99.28	99.38	99.33
8	VGG19 (I. U. Khan & Aslam, 2020)	100.00	98.78	99.33
9	OptiCNN (Mohammad Khishe et al., 2021)	–	–	99.11
10	CNN (Ahammed et al., 2020)	94.03	97.01	94.03
11	Deep Decision Tree (Yoo et al., 2020)	–	–	95
12	Support Vector Machine (Yoo et al., 2020)	–	–	96
13	K-Nearest Neighbors (Iwendi et al., 2020)	–	–	92
14	Random Forest (Iwendi et al., 2020)	–	–	92
15	Naïve Bayes algorithm (Mansour et al., 2021)	–	–	90
16	Decision Tree (Yoo et al., 2020)	–	–	82
17	Our i-2 s-8c-2 s-12c model	–	–	99.38
18	Our i-2 s-8c-2 s-16c model	–	–	100.00