Classification on CT
96.93AccuracyOurs (T*csgcn)
Evaluation Results
| Method | Links | |
|---|---|---|
| Ours (T*csgcn)Backbone=SwinT, Training Scenario=FT2025.04 | 96.93 | |
| Insert LNBackbone=SwinT, Training Scenario=FT2025.04 | 96.85 | |
| Ours (T*cn)Backbone=SwinT, Training Scenario=FT2025.04 | 96.66 | |
| T = 1Backbone=ResNet50, Training Scenario=FT2025.04 | 96.43 | |
| Ours (T*csgcn)Backbone=ResNet50, Training Scenario=FT2025.04 | 96.2 | |
| Ours (T*cn)Backbone=ResNet50, Training Scenario=FT2025.04 | 96.08 | |
| T = 1Backbone=SwinT, Training Scenario=FT2025.04 | 95.85 | |
| Ours (T*csg)Backbone=ResNet50, Training Scenario=FT2025.04 | 95.62 | |
| Insert LNBackbone=ResNet50, Training Scenario=FT2025.04 | 95.31 | |
| T = sqrt(M)Backbone=SwinT, Training Scenario=FT2025.04 | 95.01 | |
| Ours (T*)Backbone=ResNet50, Training Scenario=FT2025.04 | 93.93 | |
| Ours (T*csg)Backbone=SwinT, Training Scenario=FT2025.04 | 93.93 | |
| Ours (T*)Backbone=SwinT, Training Scenario=FT2025.04 | 93.74 | |
| Ours (T*cn)Backbone=ResNet50, Training Scenario=init2025.04 | 90.59 | |
| Ours (T*csgcn)Backbone=ResNet50, Training Scenario=init2025.04 | 90.05 | |
| Ours (T*csg)Backbone=ResNet50, Training Scenario=init2025.04 | 88.63 | |
| Insert LNBackbone=ResNet50, Training Scenario=init2025.04 | 87.63 | |
| Ours (T*)Backbone=ResNet50, Training Scenario=init2025.04 | 87.52 | |
| T = sqrt(M)Backbone=ResNet50, Training Scenario=init2025.04 | 86.37 | |
| T = 1Backbone=ResNet50, Training Scenario=init2025.04 | 83.49 | |
| BioMed-CLIPSetting=Clean2026.03 | 57.5 | |
| UniMed-CLIPSetting=Clean2026.03 | 54 | |
| BMC-CLIPSetting=Clean2026.03 | 54 | |
| Rad-CLIPSetting=Clean2026.03 | 50 | |
| BMC-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Bayes2026.03 | 44.5 | |
| Rad-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Random2026.03 | 44.5 | |
| BMC-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Random2026.03 | 44 | |
| Rad-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Bayes2026.03 | 44 | |
| BMC-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Random2026.03 | 42.5 | |
| BMC-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Bayes2026.03 | 40 | |
| T = sqrt(M)Backbone=ResNet50, Training Scenario=FT2025.04 | 33.37 | |
| Rad-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Random2026.03 | 33 | |
| BioMed-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Random2026.03 | 31 | |
| Rad-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Bayes2026.03 | 30 | |
| BioMed-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Bayes2026.03 | 29 | |
| BioMed-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Random2026.03 | 25 | |
| BioMed-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Bayes2026.03 | 22 | |
| UniMed-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Random2026.03 | 21 | |
| UniMed-CLIPSetting=CoDA-shifted, τ=0.9, Optimization=Bayes2026.03 | 15.5 | |
| UniMed-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Random2026.03 | 11.5 | |
| UniMed-CLIPSetting=CoDA-shifted, τ=0.8, Optimization=Bayes2026.03 | 8.5 |