Table 3 Comparison of the average precision (AP) for all tools with other models
From: The impact of ensemble learning on surgical tools classification during laparoscopic cholecystectomy
Tool | M.Sahu [33] | EndoNet [32] | Amy.J [34] | Jo [35] | Lin [36] | Shi [12] | Our model |
|---|---|---|---|---|---|---|---|
Grasper | 73.9 | 84.8 | 87.2 | 92.1 | 85.41 | 89.88 | 97.70 |
Bipolar | 40.8 | 86.9 | 75.1 | 82.3 | 90.36 | 90.52 | 98.14 |
Hook | 95.1 | 95.6 | 95.3 | 85.9 | 90.84 | 99.33 | 99.91 |
Scissors | 26.2 | 58.6 | 70.8 | 81.2 | 90.58 | 90.78 | 94.54 |
Clipper | 35.3 | 80.1 | 88.4 | 85.3 | 90.05 | 90.19 | 99.51 |
Irrigator | 33.2 | 74.4 | 73.5 | 82.9 | 87.42 | 89.62 | 97.79 |
SpecimenBag | 76.6 | 86.8 | 82.1 | 83.2 | 89.98 | 91.25 | 97.29 |
Average (mAP) | 54.44 | 81.0 | 81.8 | 84.7 | 89.23 | 91.65 | 97.84 |