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Ablation study results showing the incremental impact of quantitative evaluation of model components on classification performance.
| Model variant | Accuracy (%) | AUC (%) | Sensitivity (%) | Specificity (%) |
|---|---|---|---|---|
| Pre-trained DenseNet169 | 89.8 | 76.03 | 66.29 | 97.31 |
| Enhanced ViT | 93.1 | 83.91 | 69.4 | 98.44 |
| Fusion without SDEB | 96 | 91.5 | 88 | 99.1 |
| Full Hybrid (EViT-Dens169 + SDEB) | 97.1 | 95.17 | 90.83 | 99.29 |
