Laparoscopic Liver Landmark Detection on L3D
65.31DSCA2ONet
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| A2ONet2026.05 | 65.31 | 50.87 | 49.89 | |
| D2GPLand+2026.05 | 64.62 | 50.14 | 57.68 | |
| D2GPLand2026.05 | 63.52 | 48.68 | 59.38 | |
| SAMed2026.05 | 62.03 | 47.17 | 61.55 | |
| nnU-Net2026.05 | 60.97 | 46.14 | 62.03 | |
| CaseNet2026.05 | 60.94 | 46.09 | 63.89 | |
| SAM-LST2026.05 | 60.51 | 45.03 | 68.87 | |
| DeepLabV3+2026.05 | 59.74 | 44.92 | 60.86 | |
| AutoSAM2026.05 | 59.12 | 44.21 | 62.49 | |
| Double Res-UNet2026.05 | 58.39 | 43.52 | 63.78 | |
| HRNet2026.05 | 58.36 | 43.5 | 70.02 | |
| SAM-Adapter2026.05 | 57.57 | 42.88 | 74.31 | |
| UNet++2026.05 | 57.09 | 41.92 | 74.31 | |
| TransUNet2026.05 | 56.81 | 41.44 | 76.16 | |
| COSNet2026.05 | 56.24 | 40.98 | 69.22 | |
| Res-UNet2026.05 | 55.47 | 40.68 | 70.66 | |
| U-Net2026.05 | 51.39 | 36.35 | 84.94 |