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Medical Image Segmentation on Inhouse (test)

80.5Brainstem ScoreHUR-MACL
72.90874.87976.8578.821Jan 8, 2026

Evaluation results

MethodLinks
HUR-MACLcross-dataset setting=true2026.0180.540.863.565.462.6———
nnUNetcross-dataset setting=true2026.0179.337.861.562.160.2———
U-Netcross-dataset setting=true2026.0178.936.560.260.859.1———
Mamba-UNetcross-dataset setting=true2026.0177.833.55960.557.7———
MHL-Netcross-dataset setting=true2026.0177.534.256.860.257.2———
FocusNetcross-dataset setting=true2026.0177.13755.364.158.4———
Missformercross-dataset setting=true2026.0176.530.854.953.854———
Swin-Mambacross-dataset setting=true2026.0173.933.859.558.456.4———
TransUNetcross-dataset setting=true2026.0173.229.441.546.747.7———
ChironSegmentation Tool=MedSAM22026.01—————30.7536.953.37
GPT-4oSegmentation Tool=MedSAM22026.01—————7.2310.415.16
HuatuoGPT-VisionSegmentation Tool=MedSAM22026.01—————30.2536.7252.28
IBISAgent2026.01—————72.0983.7891.76
LingshuSegmentation Tool=MedSAM22026.01—————31.1937.5554.02
LLaVA-MedSegmentation Tool=MedSAM22026.01—————20.0326.9437.75