Table 12.

State-of-the-art model comparison on Data_B.

Ref	Year	Model	Accuracy	Precision	Sensitivity	F1-Score
Luz et al. [37]	2021	EfficientNet-B0	0.89	0.88	0.89	0.88
Shome et al. [57]	2021	COVID-Transformer	0.92	0.93	0.89	0.91
M.-L. Huang et al., 2022 [58]	(First Approach)	InceptionV3	96.5	96.7	96.8	96.7
		ResNet50v2	95.1	95.2	95.1	95.1
		Xception	95.9	96.5	96.0	96.5
		DenseNet121	94.7	94.7	94.6	95.0
		MobileNetV2	96.4	96.3	96.3	96.0
		EfficientNet-B0	94.8	94.5	94.5	94.5
		EfficientNetV2-S	94.8	94.8	94.8	94.6
	3 Classes (Second Approach)	InceptionV3	97.7	96.7	96.7	96.8
		ResNet50v2	97.1	96.8	96.9	96.9
		Xception	97.3	96.5	96.4	96.2
		DenseNet121	95.4	95.1	95.3	95.2
		MobileNetV2	97.7	96.6	96.7	96.4
		EfficientNet-B0	96.8	96.7	96.6	96.6
		EfficientNetV2-S	96.7	96.8	96.8	96.7
Ours	2022	Dual_Pachi	0.98	0.97	0.97	0.97
Ours	2022	Without Attention Block	0.97	0.95	0.95	0.95