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ResearchFormerly WizWand

Medical Image Analysis on CT 2 tasks

84.2Average PerformanceDINOv3
72.65675.65378.6581.647May 21, 2026
Updated 5mo ago

Evaluation results

MethodLinks
DINOv3Modality=NI, Backbone=ViT-B, Data size=1.7B, Pre-training Dataset Type=Natural Images2026.0584.2
Director-Experts (DEX)Modality=MM, Backbone=ViT-B, Data size=4.97M2026.0583.9
DINOv2Modality=NI, Backbone=ViT-B, Data size=120M, Pre-training Dataset Type=Natural Images2026.0583.4
PanDermModality=MM, Backbone=ViT-B, Data size=2.15M2026.0583.1
CONCHModality=Path, Backbone=ViT-B, Data size=1.17M, Supervision Type=paired text or labels2026.0582.5
LVMMedModality=MM, Backbone=ViT-B, Data size=1.3M2026.0581.7
MAEModality=NI, Backbone=ViT-B, Data size=1.28M, Pre-training Dataset Type=Natural Images2026.0580.8
MAE-MedVerseModality=MM, Backbone=ViT-B, Data size=4.97M2026.0580.4
PLIPModality=Path, Backbone=ViT-B, Data size=208K, Supervision Type=paired text or labels2026.0579.2
MedSAMModality=MM, Backbone=ViT-B, Data size=1.57M, Supervision Type=paired text or labels2026.0578.2
RETFoundModality=OCT, Backbone=ViT-L, Data size=736K2026.0577.9
USFMModality=US, Backbone=ViT-B, Data size=2.19M2026.0577.4
scratchModality=scratch, Backbone=ViT-B, Data size=-2026.0573.1