Table 9.

Comparison of the proposed approach with some state-of-the-art approaches on dataset 1.

Method	Accuracy (%)
DenseNet201 + transfer learning	96.25
(Jaiswal et al., 2020)
Explainable DL (xDNN)	97.38
(Soares et al., 2020)
COVID-Net + contrastive training	90.83
(Wang, Liu, & Dou, 2020)
CNN + bi-stage FS	95.77
(Sen et al., 2021)
CNN	94.98
(Jin et al., 2020)
Norm-VGG16	96.39
(Ibrahim, Youssef, & Fathalla, 2021)
COV-CAF	97.59
(Ibrahim et al., 2021)
Proposed	97.30