Virtual Healthcare Center for COVID-19 Patient Detection Based on Artificial Intelligence Approaches

Table 8

Performance comparison of the proposed VGG19 model with the state-of-the-art approaches.

Approaches	Model	Datasets	Class	Precision	Recall	F1-score	Accuracy
[41]	COVID-Net	X-ray	COVID-19	80	100	88.8	83.5
			Normal	95.1	73.9	83.17
[42]	CoroNet	X-ray	COVID-19	93.17	98.25	95.61	89.6
			Normal	95.25	93.5	94.3
[43]	VGG19+	X-ray	COVID-19	83	100	91	90
	DenseNet201		Normal	100	80	89
[44]	CNN	CT	COVID-19	81.73	85	83.33	83
			Normal
[45]	RF	X-ray	—	96	—	95	95
	GBM	X-ray	—	93	—	92	92
	KNN	X-ray	—	99	—	93	93
[46]	EfficientNet-B4+CLAHE	CT	—	86.81	78.27	82.32	83.43
Proposed	VGG19	CT	COVID-19	73	86	79	86
			Normal	85	72	78
		X-ray	COVID-19	97	96	97	97
			Normal	97	98	98
		CT + X-ray	COVID-19	86	89	87	90
			Normal	91	89	90