Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning

BMC Medical Imaging

Table 2 Base-CNN individual performance based on validation images

		Precision	Recall	F1-score	Accuracy
VGG19	COVID-19	0.95	0.92	0.94	0.96
	Healthy	0.95	0.98	0.97
	Viral pneumonia	0.95	0.99	0.97
	Tuberculosis	0.96	0.95	0.96
VGG16	COVID-19	0.98	0.89	0.93	0.95
	Healthy	0.9	1.00	0.94
	Viral pneumonia	0.95	1.00	0.97
	Tuberculosis	0.99	0.95	0.97
ResNet101V2	COVID-19	0.98	0.91	0.94	0.95
	Healthy	0.89	0.99	0.94
	Viral pneumonia	0.97	1.00	0.98
	Tuberculosis	0.98	0.93	0.95
DenseNet121	COVID-19	0.99	0.89	0.93	0.95
	Healthy	0.9	0.99	0.94
	Viral pneumonia	0.91	1.00	0.95
	Tuberculosis	0.98	0.94	0.96
CheXnet	COVID-19	0.96	0.91	0.93	0.93
	Healthy	0.88	0.98	0.93
	Viral pneumonia	0.97	1.00	0.98
	Tuberculosis	0.95	0.88	0.91
InceptionV3	COVID-19	0.96	0.89	0.92	0.92
	Healthy	0.85	0.99	0.92
	Viral pneumonia	0.96	0.99	0.97
	Tuberculosis	0.96	0.86	0.91

ISSN: 1471-2342