Table 3.

The obtained results on different models using performance metrics

Models	Accuracy (%)	Recall (%)	Specificity (%)	Precision (%)	F1-score (%)
AlexNet	96.15	95.24	91.04	96.54	91.57
DenseNet201	91.92	94.28	95.56	99.21	87.44
GoogleNet	90.25	94.74	92.47	96.48	96.21
InceptionV3	97.76	90.61	94.68	90.64	95.47
ResNet18	88.64	90.49	96.11	97.27	95.43
ResNet50	95.91	89.55	93.09	99.64	92.05
ResNet101	98.50	100	97.20	100	98.40
VGG16	97.87	90.41	97.14	96.16	97.21
VGG19	90.22	89.99	90.37	97.94	92.40
XceptionNet	90.10	95.47	92.61	90.54	90.55
InceptionResNetV2	98.17	92.58	96.94	95.11	93.49

The best results are in bold