Medical Image Segmentation on D2
87.35DSCMedNeXt-v2
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Width × 2.02025.12 | 87.35 | 87.57 | |
| MedNeXt-v1Pretraining Datasets=Abd.Atlas1.0, Pretraining Protocol=Pretrained Baselines2025.12 | 87.33 | 87.55 | |
| MRSeg.Pretraining Datasets=TotalSeg-MR, Pretraining Protocol=Pretrained Baselines2025.12 | 87.29 | 87.32 | |
| nnUNetPretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.12 | 87.28 | 87.37 | |
| MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Base Network2025.12 | 87.28 | 87.45 | |
| MedNeXt-v1Pretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.12 | 87.26 | 87.47 | |
| TotalSeg.Pretraining Datasets=TotalSeg-CT, Pretraining Protocol=Pretrained Baselines2025.12 | 87.19 | 87.17 | |
| Vista3DPretraining Datasets=Vista, Pretraining Protocol=Pretrained Baselines2025.12 | 87.18 | 87.13 | |
| MedNeXt-v2Pretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.12 | 87.16 | 87.33 | |
| MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Patch × 1.52025.12 | 87.15 | 87.26 | |
| STUNet-LPretraining Datasets=Abd.Atlas1.0, Pretraining Protocol=Pretrained Baselines2025.12 | 87.12 | 87.18 | |
| CADSPretraining Datasets=CADS-Organ, Pretraining Protocol=Pretrained Baselines2025.12 | 87.08 | 87.16 | |
| ResEncLPretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.12 | 87.03 | 87.06 | |
| SegVolPretraining Datasets=SegVol, Pretraining Protocol=Pretrained Baselines2025.12 | 85.63 | 84.37 |