Classification on ShenZhen (test)
98.88AUROCCheXWorld
Evaluation results
| Method | Links | |
|---|---|---|
| CheXWorldPre-train Data=X-rays (0.5M), Backbone=ViT-B2025.04 | 98.88 | |
| Rad-DINOPre-train Data=LVD (142M) & X-rays (public+private), Backbone=ViT-B2025.04 | 98.2 | |
| SimMIMPre-train Data=IN-21k (12M) & X-rays (0.9M), Backbone=Swin-B2025.04 | 98.09 | |
| Adam-v2Pre-train Data=IN-21k (12M) & X-rays (0.9M), Backbone=ConvNeXt-B2025.04 | 97.8 | |
| MAEPre-train Data=X-rays (0.5M), Backbone=ViT-B2025.04 | 97.63 | |
| LVM-MedPre-train Data=Medical (1.3M), Backbone=ViT-B2025.04 | 94.81 | |
| BEITPre-train Data=IN-21k (12M), Backbone=ViT-B2025.04 | 92.87 | |
| MoCo-v3Pre-train Data=IN-1k (1.3M), Backbone=ViT-B2025.04 | 92.85 | |
| DINOPre-train Data=IN-1k (1.3M), Backbone=ViT-B2025.04 | 90.39 | |
| ScratchPre-train Data=-, Backbone=ViT-B2025.04 | 82.24 |