Transfer Learning to Detect COVID-19 Automatically from X-Ray Images Using Convolutional Neural Networks

Table 7

General comparison of the best CNN obtained with state-of-the-art method.

Study	Method used	Database size	Acc%
[10]	VGG-19	224 COVID-19, 504 healthy, and 700 pneumonia	93.48
[10]	MobileNet v2	224 COVID-19, 504 healthy, and 700 pneumonia	94.72
[21]	DenseNet201	423 COVID-19, 1341 healthy, and 1345 viral pneumonia	97.94
[38]	CapsNet	231 COVID-19, 1050 healthy, and 1050 pneumonia	84.22
[37]	COVID-Net	358 COVID-19, 8066 healthy, and 5538 pneumonia	93.3
[13]	DarkCOVIDNet	157 COVID-19, 500 healthy, and 500 pneumonia	87.02
[22]	CoroNet	157 COVID-19, 500 healthy, and 500 pneumonia [13]	90.21
[22]	CoroNet	284 COVID-19, 310 healthy, and 657 pneumonia	95
Our work	VGG16	423 COVID-19, 1341 healthy, and 1345 viral pneumonia [21]	96.79
		1200 COVID-19, 1341 healthy, and 1345 viral pneumonia	98.29