Surgical Instrument Segmentation on Robust-MIS 2019 (test)
93.7Mean DiceSegMatch
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SegMatchSupervision=Semi-supervised, Training images=5983 labelled + 17K unlabelled2023.08 | 93.7 | 93.6 | |
| SegMatchSupervision=Semi-supervised, Training images=5983 labelled + 17K unlabelled2023.08 | 93.1 | 92.5 | |
| DINO-AdapterSupervision=Fully-supervised, Training images=5983 labelled2023.08 | 92.9 | 91.5 | |
| DINO-AdapterSupervision=Fully-supervised, Training images=5983 labelled2023.08 | 92.6 | 91.4 | |
| Robust-MIS 2019 winnerSupervision=Fully-supervised, Training images=5983 labelled2023.08 | 90.2 | 88.6 | |
| Robust-MIS 2019 winnerSupervision=Fully-supervised, Training images=5983 labelled2023.08 | 90.1 | 88.9 | |
| ISINetSupervision=Fully-supervised, Training images=5983 labelled2023.08 | 89.6 | 86.5 | |
| ISINetSupervision=Fully-supervised, Training images=5983 labelled2023.08 | 88.9 | 86.3 | |
| OR-UnetSupervision=Fully-supervised, Training images=5983 labelled2023.08 | 88 | 86.2 | |
| OR-UnetSupervision=Fully-supervised, Training images=5983 labelled2023.08 | 87.9 | 85.6 | |
| SegMatchLabelled data ratio=30%2023.08 | 84.3 | 80.2 | |
| PseudoSegLabelled data ratio=30%2023.08 | 79.9 | 73.4 | |
| Min-Max SimilarityLabelled data ratio=30%2023.08 | 78.6 | 72.1 | |
| CCTLabelled data ratio=30%2023.08 | 75.2 | 72.6 | |
| SegMatchLabelled data ratio=10%2023.08 | 73.3 | 71.2 | |
| ClassMixLabelled data ratio=30%2023.08 | 73.2 | 70.6 | |
| PseudoSegLabelled data ratio=10%2023.08 | 70.4 | 67.5 | |
| Mean-teacherLabelled data ratio=30%2023.08 | 70.2 | 69 | |
| Min-Max SimilarityLabelled data ratio=10%2023.08 | 68.7 | 61.2 | |
| ClassMixLabelled data ratio=10%2023.08 | 67.5 | 61.9 | |
| CCTLabelled data ratio=10%2023.08 | 67.1 | 65.2 | |
| WSSLLabelled data ratio=10%2023.08 | 64.3 | 72.1 | |
| Mean-teacherLabelled data ratio=10%2023.08 | 62.1 | 61.8 | |
| WSSLLabelled data ratio=30%2023.08 | 59.2 | 67.5 |