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Medical Image Segmentation on MSD Pancreas (test)

91.89DSCTokenSeg
1.701225.115648.5371.9444Jan 8, 2026Jan 30, 2026Feb 21, 2026Mar 15, 2026Apr 6, 2026Apr 28, 2026May 21, 2026

Evaluation results

MethodLinks
TokenSegTrain Dataset=Pancreas2026.0191.89—————3.8991.0199.81—————
nnU-NetTrain Dataset=Pancreas2026.0190.12—————4.8989.2399.78—————
Swin UNETRTrain Dataset=Pancreas2026.0187.89—————6.2387.0199.67—————
TransUNetTrain Dataset=Pancreas2026.0186.45—————6.7885.5699.58—————
U-NetTrain Dataset=Pancreas2026.0184.23—————7.8983.3499.34—————
FlexiCT-3D2026.0583.9————————62.956.840.570.351.7
TokenSegTrain Dataset=HepaticVessel2026.0182.67—————8.2381.7899.45—————
nnUNet2026.0582.4————————61.349.934.166.147.7
TokenSegTrain Dataset=Lung2026.0182.34—————8.4581.4599.45—————
CT-FM2026.0581.8————————594227.161.943.1
Voco2026.0581.1————————58.443.329.662.244
Primus-M2026.0579.7————————55.543.429.661.542.5
nnU-NetTrain Dataset=HepaticVessel2026.0178.23—————10.8777.1299.12—————
nnU-NetTrain Dataset=Lung2026.0177.89—————10.8976.7899.12—————
Swin UNETRTrain Dataset=HepaticVessel2026.0175.67—————12.4574.5698.89—————
Swin UNETRTrain Dataset=Lung2026.0174.56—————12.6773.4598.89—————
TransUNetTrain Dataset=HepaticVessel2026.0173.34—————13.1272.2398.78—————
TransUNetTrain Dataset=Lung2026.0172.34—————13.8971.2398.78—————
U-NetTrain Dataset=HepaticVessel2026.0170.23—————14.5669.1298.67—————
U-NetTrain Dataset=Lung2026.0168.34—————15.6767.2398.45—————
Base Modelalpha=None2026.0163.52——58—14.2370.46———————
RW-CPalpha=0.2, constraint=Moderate2026.0163.33——781.7744.8180.61———————
RW-CPalpha=0.1, constraint=Tight2026.0149.62——92.34.3430.9681.6———————
Standard CRCalpha=0.2, constraint=Moderate2026.0145.19——81.87.72103.03263.47———————
Consemaalpha=0.2, constraint=Moderate2026.0138.05——92.78.939.08102.97———————
Consemaalpha=0.1, constraint=Tight2026.0125.23——9817.3860.59124.32———————
RW-CPalpha=0.05, constraint=Very tight2026.0125.17——98.71662.05131.1———————
Consemaalpha=0.05, constraint=Very tight2026.0120.93——98.823.1572.76136.32———————
Standard CRCalpha=0.1, constraint=Tight2026.0111.79——93.650.64150.53283.85———————
Standard CRCalpha=0.05, constraint=Very tight2026.015.17——99.8140.49157.43300.36———————
nnU-NetEvaluation Mode=Test Set Submission2018.09—79.5352.27———————————