Table 6.
Comparison of performance with other state-of-the-art models.
| Model | Accuracy (%) | Precision (%) | Recall (%) | F1-Score (%) |
|---|---|---|---|---|
| DenseNet121 [18] | 98.48 | 98.71 | 98.59 | 98.48 |
| EfficientNetB0 [45] | 98.21 | 98.59 | 98.18 | 98.39 |
| Fused-DenseNet-Tiny (this work) | 97.99 | 98.38 | 98.15 | 98.26 |
| InceptionV3 [46] | 97.99 | 98.31 | 98.23 | 98.26 |
| ResNet152V2 [47] | 97.88 | 98.25 | 98.09 | 98.17 |
| Xception [48] | 97.61 | 97.92 | 97.83 | 97.87 |
| MobileNetV2 [49] | 97.12 | 97.46 | 97.75 | 97.58 |
| VGG16 [50] | 96.58 | 97.06 | 96.94 | 96.97 |
| InceptionResNetV2 [51] | 96.14 | 94.48 | 96.90 | 95.59 |