Table 3.

Comparisons of the results between the different architectures applied to our dataset.

Model	Accuracy	Precision	Sensitivity	Specificity	F1-score	AUC
VGG16	94.69%	96.21%	95.12%	94.00%	95.67%	94.56%
VGG19	94.38%	93.47%	97.72%	89.03%	95.55%	93.38%
Xception	96.59%	97.08%	97.4%	95.3%	97.24%	96.35%
Inception_
V2_Resnet	96.49%	97.54%	96.75%	96.08%	97.14%	96.42%
DenseNet121	96.99%	98.99%	96.09%	98.43%	97.52%	97.27%
DenseNet201	98.1%	99.01%	97.89%	98.43%	98.45%	98.16%
Our Work	98.8%	99.50%	98.54%	99.22%	99.02%	98.88%