Table 6.

Performance comparison of the proposed approach with previously published works

Research works	Model	Precision (%)	Recall (%)	F1-measure (%)	Accuracy (%)
Jaiswal et al. [31]	DenseNet-121	96.29	96.29	96.29	96.25
Silva et al. [32]	Voting based Approach	NS	NS	NS	87.68
Alshazly et al. [42]	Deep CNNs	99.6	NS	66.4	99.4
Angelov et al. [43]	GoogleNet	90.2	93.5	91.82	91.73
Angelov et al. [43]	AlexNet	94.98	92.28	93.61	93.75
Angelov et al. [43]	ResNet	93	97.15	95.03	94.96
Angelov et al. [43]	VGG-16	94.02	95.43	94.97	94.96
Angelov et al. [43]	xDNN	99.16	95.53	97.31	97.38
Proposed work	Ensemble method	99	99	99	98.5