Visual Segmentation on KiTS23
95.8KTC Dice ScoreAlonso
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Alonso2026.05 | 95.8 | 85.6 | 80.3 | — | |
| 3DU-Net Ens.2026.05 | 94.8 | 77.6 | 73.8 | — | |
| Uhm et al.Architecture Category=Challenge Winners2026.05 | 94.8 | 77.6 | 73.8 | — | |
| SEMIR2026.05 | 94.5 | 86.1 | 81.9 | — | |
| ConvOccNet2026.05 | 94.3 | 72.5 | 69.3 | — | |
| Auto3DSegArchitecture Category=Challenge Winners2026.05 | 92.6 | 78.4 | 75.1 | — | |
| Multi-Planner2026.05 | 83.1 | 13 | 26 | — | |
| AlignUNet2026.05 | 78.1 | — | 61.3 | — | |
| Swin UNETR2026.05 | 76.2 | 43.9 | 34.3 | — | |
| FlexiCT-3D2026.05 | 0.979 | 0.861 | 0.887 | — | |
| Primus-M2026.05 | 0.977 | 0.849 | 0.878 | — | |
| Voco2026.05 | 0.975 | 0.845 | 0.875 | — | |
| nnUNet2026.05 | 0.974 | 0.839 | 0.867 | — | |
| CT-FM2026.05 | 0.969 | 0.823 | 0.85 | — | |
| CoralBayU96B# pre-trained data=11k, Evaluation Protocol=Linear Probing2026.06 | — | — | — | 0.79 | |
| CoralBayU96H# pre-trained data=11k, Evaluation Protocol=Linear Probing2026.06 | — | — | — | 0.81 | |
| CoralBayU96H (FT)# pre-trained data=11k, Evaluation Protocol=Fine-tuned2026.06 | — | — | — | 0.82 | |
| nnUNetV2# pre-trained data=—, Evaluation Protocol=Fine-tuned2026.06 | — | — | — | 0.81 | |
| SuPreM# pre-trained data=2.1k, Evaluation Protocol=Linear Probing2026.06 | — | — | — | 0.8 | |
| SwinUNETR# pre-trained data=—, Evaluation Protocol=Fine-tuned2026.06 | — | — | — | 0.74 | |
| Universal Model# pre-trained data=2.1k, Evaluation Protocol=Linear Probing2026.06 | — | — | — | 0.74 | |
| VoCo-B# pre-trained data=160k, Evaluation Protocol=Linear Probing2026.06 | — | — | — | 0.78 | |
| VoCo-H# pre-trained data=160k, Evaluation Protocol=Linear Probing2026.06 | — | — | — | 0.82 |