Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images

Table 5

Recall and precision per class.

Dataset	Model	Normal		Pneumonia		COVID-19
		Recall	Precision	Recall	Precision	Recall	Precision
COVID-19 X-ray	AlexNet	0.90	0.89	0.85	0.88	0.90	0.91
	GoogLeNet	0.91	0.90	0.86	0.89	0.87	0.88
	Proposed DCGAN-CNN	0.92	0.93	0.93	0.89	0.95	0.92
COVID Chest X-ray	AlexNet	0.91	0.88	0.84	0.87	0.89	0.90
	GoogLeNet	0.90	0.86	0.89	0.86	0.92	0.91
	Proposed DCGAN-CNN	0.93	0.92	0.94	0.91	0.92	0.94
COVID-19 Radiography	AlexNet	0.94	0.90	0.92	0.90	0.93	0.94
	GoogLeNet	0.93	0.91	0.92	0.93	0.89	0.91
	Proposed DCGAN-CNN	0.96	0.95	0.94	0.94	0.95	0.96
CoronaHack-Chest X-Ray	AlexNet	0.95	0.91	0.92	0.88	0.93	0.94
	GoogLeNet	0.92	0.90	0.91	0.92	0.91	0.92
	Proposed DCGAN-CNN	0.97	0.96	0.95	0.96	0.97	0.98