Table 4.

Comparisons of the results between the different architectures applied to the dataset of [2].

Model	Accuracy	Precision	Sensitivity	Specificity	F1-score	AUC
VGG16	94.37%	91.49%	96.41%	92.70%	93.89%	94.96%
VGG19	96.37%	95.96%	95.96%	96.72%	95.96%	96.33%
Xception	91.95%	91.40%	90.58%	93.07%	91.00%	91.82%
Inception_
V2_Resnet	94.57%	93.36%	94.62%	94.52%	93.98%	91.82%
DenseNet121	95.77%	91.73%	99.55%	92.73%	95.48%	96.12%
DenseNet201	97.38%	95.26%	99.10%	95.98%	97.14%	97.54%
Our Work	98.18%	97.76%	98.20%	98.17%	97.98%	98.82%