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Medical Image Segmentation on REFUGE 2

95.2Optic-Disc DiceSAM-U
77.41682.03386.6591.267May 13, 2026

Evaluation results

MethodLinks
SAM-UAnnotations=Pixel-wise2026.0595.2——88.68374.989.181.7
TransUNetAnnotations=Pixel-wise2026.0595——87.785.675.990.381.1
SAM-Med2DAnnotations=Pixel-wise2026.0594.8——8783.776.689.281.8
nnUNetAnnotations=Pixel-wise2026.0594.7——87.384.975.189.881.2
MedSAMAnnotations=Pixel-wise2026.0594.6——86.782.875.988.781.3
BEALAnnotations=Pixel-wise2026.0593.7——86.183.574.188.680.1
ResUNetAnnotations=Pixel-wise2026.0592.9——85.580.172.386.578.9
SegDiffAnnotations=Pixel-wise2026.0592.6——85.282.571.987.578.5
SAMedAnnotations=Pixel-wise2026.0591.8——82.782.472.587.177.6
Logic-Guided SAMAnnotations=Boxes, Points2026.0589.4——80.885.77587.577.9
Logic-Guided-SegmentationAnnotations=Boxes, Points2026.0588.1——78.78674.687.176.6
MedSAMAnnotations=No finetuning2026.0578.1——6417.39.547.736.7
BEALDesign Specialization=Medical-specific2026.04—74.183.5—————
DiGSegDesign Specialization=Generalist2026.04—34.551.3—————
EoMTDesign Specialization=Generalist2026.04—49.966.6—————
MambaVisionDesign Specialization=Generalist2026.04—50.467—————
MedSegDiffDesign Specialization=Medical-specific2026.04—79.187.5—————
MRNetDesign Specialization=Medical-specific2026.04—75.184.2—————
nnUNetDesign Specialization=Medical-specific2026.04—75.184.3—————
OffSegDesign Specialization=Generalist2026.04—53.569.7—————
ResUnetDesign Specialization=Medical-specific2026.04—72.380.1—————
SegMANDesign Specialization=Generalist2026.04—46.763.7—————