Medical Image Segmentation on D1 Pediatric Organs in CT
85.59DSCMedNeXt-v2
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Patch × 1.52025.12 | 85.59 | 81.72 | |
| MedNeXt-v2Pretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.12 | 84.84 | 80.74 | |
| MedNeXt-v1Pretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.12 | 84.28 | 80.22 | |
| MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Width × 2.02025.12 | 83.62 | 79.81 | |
| MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Base Network2025.12 | 83.15 | 79.12 | |
| ResEncLPretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.12 | 82.62 | 78.39 | |
| MedNeXt-v1Pretraining Datasets=Abd.Atlas1.0, Pretraining Protocol=Pretrained Baselines2025.12 | 82.02 | 77.81 | |
| CADSPretraining Datasets=CADS-Organ, Pretraining Protocol=Pretrained Baselines2025.12 | 81.74 | 77.27 | |
| STUNet-LPretraining Datasets=Abd.Atlas1.0, Pretraining Protocol=Pretrained Baselines2025.12 | 80.7 | 76.18 | |
| nnUNetPretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.12 | 79.81 | 74.93 | |
| Vista3DPretraining Datasets=Vista, Pretraining Protocol=Pretrained Baselines2025.12 | 78.78 | 73.7 | |
| MRSeg.Pretraining Datasets=TotalSeg-MR, Pretraining Protocol=Pretrained Baselines2025.12 | 78.41 | 73.19 | |
| TotalSeg.Pretraining Datasets=TotalSeg-CT, Pretraining Protocol=Pretrained Baselines2025.12 | 77.6 | 72.19 | |
| SegVolPretraining Datasets=SegVol, Pretraining Protocol=Pretrained Baselines2025.12 | 73.95 | 65.98 |