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ResearchFormerly WizWand

Medical Image Segmentation on D2

87.35DSCMedNeXt-v2
85.561286.025686.4986.9544Dec 19, 2025
Updated 8mo ago

Evaluation results

MethodLinks
MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Width × 2.02025.1287.3587.57
MedNeXt-v1Pretraining Datasets=Abd.Atlas1.0, Pretraining Protocol=Pretrained Baselines2025.1287.3387.55
MRSeg.Pretraining Datasets=TotalSeg-MR, Pretraining Protocol=Pretrained Baselines2025.1287.2987.32
nnUNetPretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.1287.2887.37
MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Base Network2025.1287.2887.45
MedNeXt-v1Pretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.1287.2687.47
TotalSeg.Pretraining Datasets=TotalSeg-CT, Pretraining Protocol=Pretrained Baselines2025.1287.1987.17
Vista3DPretraining Datasets=Vista, Pretraining Protocol=Pretrained Baselines2025.1287.1887.13
MedNeXt-v2Pretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.1287.1687.33
MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Patch × 1.52025.1287.1587.26
STUNet-LPretraining Datasets=Abd.Atlas1.0, Pretraining Protocol=Pretrained Baselines2025.1287.1287.18
CADSPretraining Datasets=CADS-Organ, Pretraining Protocol=Pretrained Baselines2025.1287.0887.16
ResEncLPretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.1287.0387.06
SegVolPretraining Datasets=SegVol, Pretraining Protocol=Pretrained Baselines2025.1285.6384.37