List your company

Medical Image Segmentation on Toothfairy D3

91.77DSCMedNeXt-v2
73.486878.233482.9887.7266Dec 19, 2025

Evaluation results

MethodLinks
MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Patch × 1.52025.1291.7794.59
CADSPretraining Datasets=CADS-Organ, Pretraining Protocol=Pretrained Baselines2025.1290.3493.37
MedNeXt-v2Pretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.1289.4992.4
MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Width × 2.02025.1289.4492.44
MedNeXt-v1Pretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.1289.3892.29
MedNeXt-v2Pretraining Datasets=CADS-sub, Pretraining Protocol=Our Pretrained Weights, Model Configuration=Base Network2025.1289.2992.43
MedNeXt-v1Pretraining Datasets=Abd.Atlas1.0, Pretraining Protocol=Pretrained Baselines2025.1289.0992.03
STUNet-LPretraining Datasets=Abd.Atlas1.0, Pretraining Protocol=Pretrained Baselines2025.1288.6191.82
ResEncLPretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.1288.5591.47
Vista3DPretraining Datasets=Vista, Pretraining Protocol=Pretrained Baselines2025.1287.7591.3
MRSeg.Pretraining Datasets=TotalSeg-MR, Pretraining Protocol=Pretrained Baselines2025.1287.5490.98
TotalSeg.Pretraining Datasets=TotalSeg-CT, Pretraining Protocol=Pretrained Baselines2025.1286.7490.18
nnUNetPretraining Datasets=-, Pretraining Protocol=Training from Scratch2025.1285.6388.89
SegVolPretraining Datasets=SegVol, Pretraining Protocol=Pretrained Baselines2025.1274.1978.15