Brain Tumor Segmentation on BraTS PED 2023 (test)
9.35Average HD95MedSegDiff
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| MedSegDiffConditioning=True2026.06 | 9.35 | 61 | 78 | 84 | 75 | — | — | — | 83 | 80 | |
| Swin-UNETRPre-training=True2026.06 | 9.85 | 63 | 83 | 86 | 77 | — | — | — | 89 | 85 | |
| BrainMVPModality=MRI, Network=UNET3D, Pre-training=Medical SSL2024.10 | 10.99 | — | — | — | — | 15.93 | 7.24 | 9.81 | — | — | |
| BrainMVPModality=MRI, Network=UNET3D, Pre-training Strategy=Medical SSL2024.10 | 10.99 | — | — | — | — | 15.93 | 7.24 | 9.81 | — | — | |
| M3AEModality=MRI, Network=UNET3D, Pre-training=Medical SSL2024.10 | 12.09 | — | — | — | — | 13.48 | 11.91 | 10.88 | — | — | |
| M³AEModality=MRI, Network=UNET3D, Pre-training Strategy=Medical SSL2024.10 | 12.09 | — | — | — | — | 13.48 | 11.91 | 10.88 | — | — | |
| BrainMVPModality=MRI, Network=UniFormer, Pre-training=Medical SSL2024.10 | 12.12 | — | — | — | — | 13.93 | 7.88 | 14.56 | — | — | |
| BrainMVPModality=MRI, Network=UniFormer, Pre-training Strategy=Medical SSL2024.10 | 12.12 | — | — | — | — | 13.93 | 7.88 | 14.56 | — | — | |
| Swin-UNETRPre-training=False2026.06 | 13.02 | 60 | 85 | 87 | 77 | — | — | — | 84 | 88 | |
| UniFormerNetwork=UniFormer, Pre-training=From Scratch2024.10 | 14.8 | — | — | — | — | 11.55 | 16.71 | 16.14 | — | — | |
| UniFormerModality=None, Network=UniFormer, Pre-training Strategy=From Scratch2024.10 | 14.8 | — | — | — | — | 11.55 | 16.71 | 16.14 | — | — | |
| GVSLModality=CT, Network=UNET3D, Pre-training=Medical SSL2024.10 | 16.26 | — | — | — | — | 17.45 | 15.33 | 16 | — | — | |
| GVSLModality=CT, Network=UNET3D, Pre-training Strategy=Medical SSL2024.10 | 16.26 | — | — | — | — | 17.45 | 15.33 | 16 | — | — | |
| M3AEModality=MRI, Network=UniFormer, Pre-training=Medical SSL2024.10 | 17.31 | — | — | — | — | 16.19 | 15.95 | 19.78 | — | — | |
| M³AEModality=MRI, Network=UniFormer, Pre-training Strategy=Medical SSL2024.10 | 17.31 | — | — | — | — | 16.19 | 15.95 | 19.78 | — | — | |
| MGModality=CXR, CT, Network=UNET3D, Pre-training=Medical SSL2024.10 | 17.69 | — | — | — | — | 19.71 | 15.72 | 17.65 | — | — | |
| MGModality=CXR, CT, Network=UNET3D, Pre-training Strategy=Medical SSL2024.10 | 17.69 | — | — | — | — | 19.71 | 15.72 | 17.65 | — | — | |
| VoCoModality=MRI, Network=Swin-UNETR, Pre-training=Medical SSL2024.10 | 17.78 | — | — | — | — | 18.98 | 17.21 | 17.16 | — | — | |
| VoCoModality=MRI, Network=Swin-UNETR, Pre-training Strategy=Medical SSL2024.10 | 17.78 | — | — | — | — | 18.98 | 17.21 | 17.16 | — | — | |
| Swin-UNETR*Modality=MRI, Network=Swin-UNETR, Pre-training=Medical SSL2024.10 | 17.91 | — | — | — | — | 18.65 | 17.44 | 17.64 | — | — | |
| Swin-UNETR*Modality=MRI, Network=Swin-UNETR, Pre-training Strategy=Medical SSL2024.10 | 17.91 | — | — | — | — | 18.65 | 17.44 | 17.64 | — | — | |
| Swin-UNETRNetwork=Swin-UNETR, Pre-training=From Scratch2024.10 | 20.32 | — | — | — | — | 17.37 | 22.56 | 21.03 | — | — | |
| Swin-UNETRModality=None, Network=Swin-UNETR, Pre-training Strategy=From Scratch2024.10 | 20.32 | — | — | — | — | 17.37 | 22.56 | 21.03 | — | — | |
| DAEModality=MRI, Network=Swin-UNETR, Pre-training=Medical SSL2024.10 | 20.82 | — | — | — | — | 19.33 | 21.41 | 21.71 | — | — | |
| DAEModality=MRI, Network=Swin-UNETR, Pre-training Strategy=Medical SSL2024.10 | 20.82 | — | — | — | — | 19.33 | 21.41 | 21.71 | — | — | |
| TransVWModality=CT, Network=UNET3D, Pre-training=Medical SSL2024.10 | 22.82 | — | — | — | — | 18.36 | 25.42 | 24.67 | — | — | |
| TransVWModality=CT, Network=UNET3D, Pre-training Strategy=Medical SSL2024.10 | 22.82 | — | — | — | — | 18.36 | 25.42 | 24.67 | — | — | |
| MoCoV3Modality=Natural, Network=UNETR, Pre-training=General SSL2024.10 | 28.2 | — | — | — | — | 20.6 | 31.88 | 32.12 | — | — | |
| MoCoV3Modality=Natural, Network=UNETR, Pre-training Strategy=General SSL2024.10 | 28.2 | — | — | — | — | 20.6 | 31.88 | 32.12 | — | — | |
| SimMIMModality=Natural, Network=UNETR, Pre-training=General SSL2024.10 | 29.61 | — | — | — | — | 24.7 | 31.61 | 32.52 | — | — | |
| SimMIMModality=Natural, Network=UNETR, Pre-training Strategy=General SSL2024.10 | 29.61 | — | — | — | — | 24.7 | 31.61 | 32.52 | — | — | |
| UNET3DNetwork=UNET3D, Pre-training=From Scratch2024.10 | 29.86 | — | — | — | — | 22.48 | 34.02 | 33.07 | — | — | |
| UNET3DModality=None, Network=UNET3D, Pre-training Strategy=From Scratch2024.10 | 29.86 | — | — | — | — | 22.48 | 34.02 | 33.07 | — | — | |
| DDPMConditioning=True2026.06 | 33.54 | 63 | 78 | 78 | 73 | — | — | — | 87 | 74 | |
| MAE3DModality=Natural, Network=UNETR, Pre-training=General SSL2024.10 | 33.9 | — | — | — | — | 25.37 | 38.43 | 37.92 | — | — | |
| MAE3DModality=Natural, Network=UNETR, Pre-training Strategy=General SSL2024.10 | 33.9 | — | — | — | — | 25.37 | 38.43 | 37.92 | — | — | |
| UNETRNetwork=UNETR, Pre-training=From Scratch2024.10 | 34.43 | — | — | — | — | 25.06 | 39.07 | 39.14 | — | — | |
| UNETRModality=None, Network=UNETR, Pre-training Strategy=From Scratch2024.10 | 34.43 | — | — | — | — | 25.06 | 39.07 | 39.14 | — | — | |
| 3D Res U-Net2026.06 | 38.35 | 19 | 62 | 64 | 48 | — | — | — | 93 | 34 | |
| MedSegDiffConditioning=False2026.06 | 49.67 | 48 | 68 | 71 | 62 | — | — | — | 77 | 67 | |
| DDPMConditioning=False2026.06 | 102.76 | 8 | 54 | 55 | 39 | — | — | — | 49 | 37 | |
| BrainMVPModality=MRI, Network=UNET3D, Pre-training Strategy=With Medical SSL2024.10 | — | 47.75 | 85.99 | 88.46 | 74.07 | — | — | — | — | — | |
| BrainMVPModality=MRI, Network=UniFormer, Pre-training Strategy=With Medical SSL2024.10 | — | 55.45 | 86.54 | 88.41 | 76.8 | — | — | — | — | — | |
| DAEModality=MRI, Network=Swin-UNETR, Pre-training Strategy=With Medical SSL2024.10 | — | 49.3 | 82.12 | 84.78 | 72.07 | — | — | — | — | — | |
| GVSLModality=CT, Network=UNET3D, Pre-training Strategy=With Medical SSL2024.10 | — | 49.05 | 84.47 | 86.81 | 73.45 | — | — | — | — | — | |
| M3AEModality=MRI, Network=UNET3D, Pre-training Strategy=With Medical SSL2024.10 | — | 46.77 | 85.67 | 86.89 | 73.11 | — | — | — | — | — | |
| M3AEModality=MRI, Network=UniFormer, Pre-training Strategy=With Medical SSL2024.10 | — | 50.77 | 84.95 | 86.7 | 74.14 | — | — | — | — | — | |
| MAE3DModality=Natural, Network=UNETR, Pre-training Strategy=With General SSL2024.10 | — | 46.55 | 77.08 | 79.32 | 67.65 | — | — | — | — | — | |
| MGModality=CXR, CT, Network=UNET3D, Pre-training Strategy=With Medical SSL2024.10 | — | 47.99 | 86.69 | 88.41 | 74.36 | — | — | — | — | — | |
| MoCov3Modality=Natural, Network=UNETR, Pre-training Strategy=With General SSL2024.10 | — | 45.66 | 77.37 | 79.88 | 67.64 | — | — | — | — | — | |
| SimMIMModality=Natural, Network=UNETR, Pre-training Strategy=With General SSL2024.10 | — | 45.14 | 76.59 | 78.61 | 66.78 | — | — | — | — | — | |
| Swin-UNETRPre-training Strategy=From Scratch, Network=Swin-UNETR2024.10 | — | 49.66 | 81.1 | 84.13 | 71.63 | — | — | — | — | — | |
| Swin-UNETR*Modality=MRI, Network=Swin-UNETR, Pre-training Strategy=With Medical SSL2024.10 | — | 49.07 | 81.74 | 84.13 | 71.65 | — | — | — | — | — | |
| TransVWModality=CT, Network=UNET3D, Pre-training Strategy=With Medical SSL2024.10 | — | 46.38 | 80.05 | 81.98 | 69.47 | — | — | — | — | — | |
| UNET3DPre-training Strategy=From Scratch, Network=UNET3D2024.10 | — | 47.12 | 81.6 | 83.94 | 70.89 | — | — | — | — | — | |
| UNETRPre-training Strategy=From Scratch, Network=UNETR2024.10 | — | 46.46 | 76.43 | 78.66 | 67.19 | — | — | — | — | — | |
| UniFormerPre-training Strategy=From Scratch, Network=UniFormer2024.10 | — | 46.73 | 83.87 | 86.97 | 72.52 | — | — | — | — | — | |
| VoCoModality=MRI, Network=Swin-UNETR, Pre-training Strategy=With Medical SSL2024.10 | — | 48.66 | 82.26 | 84.64 | 71.85 | — | — | — | — | — |