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Comparative analysis of model complexity and efficiency.
| Model | Parameters (Millions) | Training time/epoch (s) | Inference time/image (ms) | GPU memory usage (GB) |
|---|---|---|---|---|
| Faster RCNN | 41.2 M | 62 | 28 | 6.1 |
| ResNet | 25.6 M | 38 | 12 | 4.3 |
| EOML | 18.9 M | 35 | 10 | 3.8 |
| WSUNet | 29.4 M | 44 | 15 | 4.9 |
| Proposed (ProstateNet) | 32.7 M | 49 | 14 | 5.2 |
