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Comparison of Accuracy.
| Methods | Accuracy (%) |
|---|---|
| Neural networks + Random forest (28) | 99.6 |
| ResNet-50 (29) | 99.44 |
| V-Net segmentation (30) | 94.9 |
| Attention pyramid pooling network (APPN) (31) | 88.47 |
| Deep pyramidal residual network (32) | 95.06 |
| Neural networks + Logistic ML (33) | 98.49 |
| Hybrid differential evolution-based NN (34) | 96.39 |
| CapsNet + VGG16 (36) | 99.25 |
| Proposed method | 99.70 |
