Table 5.

Comparison table of available deep learning approaches with our proposed framework (Faster R–CNN).

Method	Accuracy %	F1 Score %	Specificity %	Precision %	Sensitivity %
DenseNet	92.64	95.72	77.42	96.45	95.00
ResNet50	89.61	93.94	67.74	94.90	93.00
InceptionV3	88.74	93.33	74.19	95.79	91.00
AlexNet	90.50	94.63	71.43	96.86	92.50
Faster R–CNN (Proposed)	97.36	98.46	95.48	99.29	97.65