Table 6.

Experimental results of different models on the same dataset for COVID-19 vs Pneumonia classification.

CNN Models	Accuracy	Precision	Recall	Specificity	F1-score	Confusion Matrix
CheXNet	99.08%	98.76%	99.50%	98.63%	99.13%	359 5
						2 398
Resnet50	98.43%	97.32%	99.75%	96.98%	98.52%	353 11
						1 399
VGG-19	99.35%	99.50%	99.25%	99.45%	99.37%	362 2
						3 397
MobileNetV2	99.08%	98.28%	100%	98.08%	99.13%	357 7
						0 400
VGG-16	99.35%	99.26%	99.50%	99.17%	99.38%	359 3
						2 400
EfficientNet	99.35%	98.77%	100%	98.63%	99.38%	359 5
						0 400
Proposed Model	99.48%	99.01%	100%	98.90%	99.50%	363 1
						0 399