3D Medical Image Segmentation on WORD 150 CT scans (test)
86.3DSCNMSW
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| NMSWBackbone=MedNext, k=full2025.01 | 86.3 | 91.6 | 101 | 2,152 | 88 | 44.1 | 15.8 | |
| SW (gold standard)Backbone=MedNext2025.01 | 86 | 91.3 | 99.2 | 2,110 | 88 | 17.5 | 11.6 | |
| SW (gold standard)Backbone=UNet2025.01 | 85.2 | 90.6 | 12.3 | 135 | 63.2 | 26.5 | 9.3 | |
| NMSWBackbone=UNet, k=full2025.01 | 85.2 | 90.3 | 13 | 140 | 63.2 | 53 | 15.8 | |
| SW (gold standard)Backbone=Swin-UNETR2025.01 | 84.8 | 89.7 | 71.1 | 1,050 | 69.2 | 15.5 | 12 | |
| NMSWBackbone=Swin-UNETR, k=full2025.01 | 84.6 | 89.5 | 72.3 | 1,140 | 69.2 | 42 | 15.8 | |
| NMSWBackbone=UNet, k=302025.01 | 84.5 | 89.4 | 1.07 | 23.7 | 5.85 | — | — | |
| Zoom-outBackbone=UNet2025.01 | 83.7 | 88.8 | 5.19 | 144 | 3.83 | — | — | |
| RFBackbone=UNet, k=302025.01 | 82.9 | 87 | — | — | — | — | — | |
| NMSWBackbone=UNet, k=52025.01 | 82.5 | 86.7 | 0.147 | 10 | 1.27 | — | — | |
| RFBackbone=UNet, k=52025.01 | 79 | 80.6 | — | — | — | — | — |