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Pulmonary nodule segmentation on Single-center external dataset (n=885) (test)

86.77Dice Score (%)Hi-Seg
53.791662.353370.91579.4767Jun 21, 2026

Evaluation results

MethodLinks
Hi-SegAnnotator type=non-medical annotators #32026.0686.770.001
Hi-SegAnnotator group=senior radiologist2026.0686.320.016
Hi-SegAnnotator type=senior radiologist2026.0686.320.001
Hi-SegAnnotator group=junior medical student2026.0684.730.045
Hi-SegAnnotator type=junior medical student2026.0684.730.001
Hi-SegAnnotator group=overall, five human annotators2026.0684.47—
Hi-SegAnnotator type=overall, five human annotators2026.0684.47—
Hi-SegAnnotator group=non-medical annotators2026.0683.770.842
MedSAM2Prompt type=prompt #42026.0683.080.001
Hi-SegAnnotator type=non-medical annotators #12026.0682.780.525
Hi-SegAnnotator type=non-medical annotators #22026.0681.770.001
MedSAMPrompt type=bounding box prompt2026.0679.240.001
MedSAMPrompt type=bounding-box prompt2026.0679.240.001
HQ-SAMPrompt type=prompt #42026.0678.950.001
MedSAM2Prompt type=prompt #12026.0678.260.001
MedSAM2Prompt type=prompt #32026.0677.960.001
SAMPrompt type=prompt #42026.0677.830.001
HQ-SAMPrompt type=prompt #32026.0677.040.001
MedSAM2Prompt type=overall, prompts #1-42026.0676.120.001
nnU-NetModel type=Deep learning model2026.0675.420.001
nnU-Net2026.0675.420.001
HQ-SAMPrompt type=prompt #12026.0674.550.001
SAMPrompt type=prompt #12026.0674.480.001
HQ-SAMPrompt type=overall, prompts #1-42026.0673.490.001
U-NetModel type=Deep learning model2026.0670.770.001
U-Net2026.0670.770.001
U-Net++Model type=Deep learning model2026.0669.840.001
U-Net++2026.0669.840.001
Attention U-NetModel type=Deep learning model2026.0667.880.001
Attention U-Net2026.0667.880.001
SAMPrompt type=overall, prompts #1-42026.0667.770.001
MedSAM2Prompt type=prompt #22026.0665.190.001
SAMPrompt type=prompt #22026.0663.730.001
TransU-NetModel type=Deep learning model2026.0663.510.001
TransU-Net2026.0663.510.001
HQ-SAMPrompt type=prompt #22026.0663.440.001
SAMPrompt type=prompt #32026.0655.060.001