Medical Image Segmentation on D4
69.04DSCMedNeXt-v2
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Base Network2025.12 | 69.04 | 81.23 | |
| MedNeXt-v1Pretraining Datasets=Abd.Atlas1.0, Pretraining Protocol=Pretrained Baselines2025.12 | 68.52 | 80.21 | |
| MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Patch × 1.52025.12 | 68.12 | 80.26 | |
| CADSPretraining Datasets=CADS-Organ, Pretraining Protocol=Pretrained Baselines2025.12 | 68.07 | 79.69 | |
| TotalSeg.Pretraining Datasets=TotalSeg-CT, Pretraining Protocol=Pretrained Baselines2025.12 | 67.85 | 80.21 | |
| MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Width × 2.02025.12 | 67.03 | 79.42 | |
| MRSeg.Pretraining Datasets=TotalSeg-MR, Pretraining Protocol=Pretrained Baselines2025.12 | 67.02 | 79.17 | |
| STUNet-LPretraining Datasets=Abd.Atlas1.0, Pretraining Protocol=Pretrained Baselines2025.12 | 66.15 | 77.69 | |
| Vista3DPretraining Datasets=Vista, Pretraining Protocol=Pretrained Baselines2025.12 | 65.85 | 77.89 | |
| ResEncLPretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.12 | 65.67 | 77.81 | |
| nnUNetPretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.12 | 65.37 | 77.23 | |
| MedNeXt-v2Pretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.12 | 64.89 | 77.04 | |
| MedNeXt-v1Pretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.12 | 64.87 | 77.73 | |
| SegVolPretraining Datasets=SegVol, Pretraining Protocol=Pretrained Baselines2025.12 | 51.1 | 62.08 |