Autolaparo
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Surgical Phase Recognition | Autolaparo | Average F169 | 36 | |
| Phase recognition | AutoLaparo (test) | F1 Score70.7 | 22 | |
| Surgical Scene Understanding | Autolaparo | Phase Accuracy63.1 | 16 | |
| Surgical workflow recognition | AutoLaparo | Accuracy86.37 | 14 | |
| Surgical Instrument Segmentation | Autolaparo | Mean Dice Coefficient0.8441 | 13 | |
| Attention heatmap prediction | AutoLaparo SurgAtt | NSS2.741 | 9 | |
| Surgical Phase Recognition | AutoLaparo 3-fold cross-validation public (test) | Accuracy84.36 | 8 | |
| Surgical Phase Recognition | AutoLaparo (test) | Precision0.851 | 6 | |
| Surgical Phase Recognition | AutoLaparo (five-fold cross-val) | Accuracy80.1 | 4 |
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