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 |