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ResearchFormerly WizWand

Classification on CT

96.93AccuracyOurs (T*csgcn)
4.962828.838952.71576.5911Apr 22, 2025Jun 16, 2025Aug 10, 2025Oct 4, 2025Nov 28, 2025Jan 22, 2026Mar 19, 2026
Updated 6mo ago

Evaluation results

MethodLinks
Ours (T*csgcn)Backbone=SwinT, Training Scenario=FT2025.0496.93
Insert LNBackbone=SwinT, Training Scenario=FT2025.0496.85
Ours (T*cn)Backbone=SwinT, Training Scenario=FT2025.0496.66
T = 1Backbone=ResNet50, Training Scenario=FT2025.0496.43
Ours (T*csgcn)Backbone=ResNet50, Training Scenario=FT2025.0496.2
Ours (T*cn)Backbone=ResNet50, Training Scenario=FT2025.0496.08
T = 1Backbone=SwinT, Training Scenario=FT2025.0495.85
Ours (T*csg)Backbone=ResNet50, Training Scenario=FT2025.0495.62
Insert LNBackbone=ResNet50, Training Scenario=FT2025.0495.31
T = sqrt(M)Backbone=SwinT, Training Scenario=FT2025.0495.01
Ours (T*)Backbone=ResNet50, Training Scenario=FT2025.0493.93
Ours (T*csg)Backbone=SwinT, Training Scenario=FT2025.0493.93
Ours (T*)Backbone=SwinT, Training Scenario=FT2025.0493.74
Ours (T*cn)Backbone=ResNet50, Training Scenario=init2025.0490.59
Ours (T*csgcn)Backbone=ResNet50, Training Scenario=init2025.0490.05
Ours (T*csg)Backbone=ResNet50, Training Scenario=init2025.0488.63
Insert LNBackbone=ResNet50, Training Scenario=init2025.0487.63
Ours (T*)Backbone=ResNet50, Training Scenario=init2025.0487.52
T = sqrt(M)Backbone=ResNet50, Training Scenario=init2025.0486.37
T = 1Backbone=ResNet50, Training Scenario=init2025.0483.49
BioMed-CLIPSetting=Clean2026.0357.5
UniMed-CLIPSetting=Clean2026.0354
BMC-CLIPSetting=Clean2026.0354
Rad-CLIPSetting=Clean2026.0350
BMC-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Bayes2026.0344.5
Rad-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Random2026.0344.5
BMC-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Random2026.0344
Rad-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Bayes2026.0344
BMC-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Random2026.0342.5
BMC-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Bayes2026.0340
T = sqrt(M)Backbone=ResNet50, Training Scenario=FT2025.0433.37
Rad-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Random2026.0333
BioMed-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Random2026.0331
Rad-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Bayes2026.0330
BioMed-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Bayes2026.0329
BioMed-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Random2026.0325
BioMed-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Bayes2026.0322
UniMed-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Random2026.0321
UniMed-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Bayes2026.0315.5
UniMed-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Random2026.0311.5
UniMed-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Bayes2026.038.5