Table 2.

Models for detecting COVID-19 from CXR.

Classification	Model	Acc(%)	Repositories/Datasets	COVID-19	Pneumonia	Normal
Binary	COVIDX-Net [21]	90.00	COVID-19 image data collection	25	_	25
	CovXNet [22]	97.40	Guangzhou Medical Center in China & Sylhet Medical College in Bangladesh	305	_	305
	ResNet-50 [23]	98.00	COVID-19 image data collection & Kaggle	50	_	50
	DarkCovidNet [24]	98.08	COVID-19 image data collection & ChestXray-14	125	_	500
Multi-class	VGG-16 [25]	83.68	COVID-19 image data collection & Radiological Society of North America (RSNA)	215	533	500
	DarkCovidNet [24]	87.02	COVID-19 image data collection & ChestXray-14	125	500	500
	CovXNet [22]	90.30	Guangzhou Medical Center in China & Sylhet Medical College in Bangladesh	305	305-Viral 305-Bacterial	305
	COVID-Net [20]	93.30	COVIDx	53	5526	8066
	MobileNet-v2 [26]	94.72	COVID-19 image data collection, Radiological Society of North America (RSNA), Radiopaedia, Italian Society of Medical & Interventional Radiology (SIRM) & Kermany dataset	224	700	504
	CNN-SVM [27]	95.33	COVID-19 image data collection, COVID-19 radiography database & Kermany dataset	127	127	127