Table 3.
VGG-16-based segmentation performance.
| Backbone model | Accuracy (%) | F1-Score (%) | AUC | Param (M) |
|---|---|---|---|---|
| VGG16 + Decoder | 86.21 | 85.42 | 0.9201 | 14.7 |
| ResNet50 + Decoder | 86.94 | 86.15 | 0.9264 | 23.5 |
| EfficientNetB0 + Decoder | 87.48 | 86.79 | 0.9297 | 5.3 |
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