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ResearchFormerly WizWand

Semantic Segmentation on HNC Tumor

96.62GTVp DiceMedNeXt
87.114489.582292.0594.5178Mar 24, 2026
Updated 7mo ago

Evaluation results

MethodLinks
MedNeXtFLOPs (G)=57.81, Params (M)=5.57, Spatial size=(96, 96, 96)2026.0396.6297.0396.82
Light-UNETR-LFLOPs (G)=52.15, Params (M)=3.93, Spatial size=(96, 96, 96)2026.0396.6296.3496.48
MedNeXtFLOPs (G)=57.81, Params (M)=5.57, Spatial size=(96, 96, 96), Training Mode=Fully-supervised2026.0396.6297.0396.82
Light-UNETR-LFLOPs (G)=52.15, Params (M)=3.93, Spatial size=(96, 96, 96), Training Mode=Fully-supervised2026.0396.6296.3496.48
Swin UNETRFLOPs (G)=331.95, Params (M)=61.99, Spatial size=(96, 96, 96)2026.0396.4596.5196.48
Swin UNETRFLOPs (G)=331.95, Params (M)=61.99, Spatial size=(96, 96, 96), Training Mode=Fully-supervised2026.0396.4596.5196.48
UNETR++FLOPs (G)=57.51, Params (M)=20.33, Spatial size=(96, 96, 96)2026.0395.3995.7495.56
UNETR++FLOPs (G)=57.51, Params (M)=20.33, Spatial size=(96, 96, 96), Training Mode=Fully-supervised2026.0395.3995.7495.56
SegResNetFLOPs (G)=202.66, Params (M)=10.64, Spatial size=(96, 96, 96)2026.0395.1995.795.44
SegResNetFLOPs (G)=202.66, Params (M)=10.64, Spatial size=(96, 96, 96), Training Mode=Fully-supervised2026.0395.1995.795.44
nn-UNetFLOPs (G)=200.81, Params (M)=13.82, Spatial size=(96, 96, 96)2026.0394.7995.7695.27
nn-UNetFLOPs (G)=200.81, Params (M)=13.82, Spatial size=(96, 96, 96), Training Mode=Fully-supervised2026.0394.7995.7695.27
TransBTSFLOPs (G)=142.07, Params (M)=30.61, Spatial size=(96, 96, 96)2026.0394.0294.3194.16
TransBTSFLOPs (G)=142.07, Params (M)=30.61, Spatial size=(96, 96, 96), Training Mode=Fully-supervised2026.0394.0294.3194.16
Light-UNETRFLOPs (G)=3.73, Params (M)=1.34, Spatial size=(96, 96, 96)2026.0387.4884.8686.17
Light-UNETRFLOPs (G)=3.73, Params (M)=1.34, Spatial size=(96, 96, 96), Training Mode=Fully-supervised2026.0387.4884.8686.17