Table 5.

Performance metrics on Kaggle dataset.

Model	Accuracy	AUC (TB)	Sensitivity	Specificity	Average precision	Average recall
ResNet18	90.23	94.31	72.21	95.41	87.54	86.25
ResNet50	92.61	97.6	84.12	96.88	92.41	92.1
DenseNet121	84.04	93.21	75.43	93.22	84.31	82.11
DenseNet201	90.15	95.26	79.86	94.21	91.22	88.45
InceptionV3	88.62	91.25	80.32	94.31	86.28	84.79
EfficientNet-B7	83.21	74.65	84.32	93.21	80.7	85.22
Proposed model	95.91	98.32	91.78	91.67	95.87	91.90