Table 2 Comparison of the Average precision (AP) for all tools with other models
From: Towards more efficient CNN-based surgical tools classification using transfer learning
Tool | M.Sahu [35] | EndoNet [31] | Amy.J [12] | Jo [36] | Kanakatte [37] | Our Model |
|---|---|---|---|---|---|---|
Grasper | 73.9 | 84.8 | 87.2 | 92.1 | 93.8 | 96.58 |
Bipolar | 40.8 | 86.9 | 75.1 | 82.3 | 90.0 | 95.04 |
Hook | 95.1 | 95.6 | 95.3 | 85.9 | 86.1 | 99.68 |
Scissors | 26.2 | 58.6 | 70.8 | 81.2 | 100 | 81.24 |
Clipper | 35.3 | 80.1 | 88.4 | 85.3 | 91.9 | 95.11 |
Irrigator | 33.2 | 74.4 | 73.5 | 82.9 | 88.4 | 93.71 |
SpecimenBag | 76.6 | 86.8 | 82.1 | 83.2 | 83.1 | 94.92 |
Average (mAP) | 54.44 | 81.0 | 81.8 | 84.7 | 90.5 | 93.75 |