Medical Image Classification on CheXpert (AUC)
91.2AUCMed-UniC (ViT-L/32)
Evaluation Results
| Method | Links | |
|---|---|---|
| Med-UniC (ViT-L/32)Backbone=ViT-L/32, Training Data=100%, Protocol=Linear classification2023.05 | 91.2 | |
| Med-UniC (ViT-B/16)Backbone=ViT-B/16, Training Data=100%, Protocol=Linear classification2023.05 | 90.8 | |
| Med-UniC (ViT-L/32)Backbone=ViT-L/32, Training Data=10%, Protocol=Linear classification2023.05 | 90.5 | |
| Med-UniC (ViT-L/32)Backbone=ViT-L/32, Training Data=1%, Protocol=Linear classification2023.05 | 89.9 | |
| MGCA*Backbone=ViT-B/16, Training Data=100%, Protocol=Linear classification, disease-level annotations=true2023.05 | 89.7 | |
| Med-UniC (ViT-B/16)Backbone=ViT-B/16, Training Data=10%, Protocol=Linear classification2023.05 | 89.7 | |
| Med-UniC (ResNet-50)Backbone=ResNet-50, Training Data=100%, Protocol=Linear classification2023.05 | 89.5 | |
| Med-UniC (ViT-B/16)Backbone=ViT-B/16, Training Data=1%, Protocol=Linear classification2023.05 | 89.4 | |
| Med-UniC (ResNet-50)Backbone=ResNet-50, Training Data=10%, Protocol=Linear classification2023.05 | 89.2 | |
| MGCA*Backbone=ViT-B/16, Training Data=10%, Protocol=Linear classification, disease-level annotations=true2023.05 | 89.1 | |
| MGCA*Backbone=ViT-B/16, Training Data=1%, Protocol=Linear classification, disease-level annotations=true2023.05 | 88.8 | |
| GLoRIA-MIMICBackbone=ResNet-50, Training Data=10%, Protocol=Linear classification2023.05 | 88.7 | |
| MRMBackbone=ViT, Training Data=100%, Protocol=Linear classification2023.05 | 88.7 | |
| MRMBackbone=ViT, Training Data=1%, Protocol=Linear classification2023.05 | 88.5 | |
| MRMBackbone=ViT, Training Data=10%, Protocol=Linear classification2023.05 | 88.5 | |
| MGCA*Backbone=ResNet-50, Training Data=100%, Protocol=Linear classification, disease-level annotations=true2023.05 | 88.2 | |
| Med-UniC (ResNet-50)Backbone=ResNet-50, Training Data=1%, Protocol=Linear classification2023.05 | 88.2 | |
| GLoRIABackbone=ResNet-50, Training Data=100%, Protocol=Linear classification2023.05 | 88.1 | |
| GLoRIA-MIMICBackbone=ResNet-50, Training Data=100%, Protocol=Linear classification2023.05 | 88 | |
| MGCA*Backbone=ResNet-50, Training Data=10%, Protocol=Linear classification, disease-level annotations=true2023.05 | 88 | |
| FINOAdaptation set=MIMIC-CXR, Probing and evaluation set=CheXpert2026.06 | 88 | |
| GLoRIABackbone=ResNet-50, Training Data=10%, Protocol=Linear classification2023.05 | 87.8 | |
| MedKLIP*Backbone=ResNet-50, Training Data=100%, Protocol=Linear classification, disease-level annotations=true2023.05 | 87.7 | |
| MGCA*Backbone=ResNet-50, Training Data=1%, Protocol=Linear classification, disease-level annotations=true2023.05 | 87.6 | |
| ConVIRTBackbone=ResNet-50, Training Data=100%, Protocol=Linear classification2023.05 | 87.3 | |
| Supervised adapt.Adaptation set=MIMIC-CXR, Probing and evaluation set=CheXpert2026.06 | 87.3 | |
| GLoRIA-MIMICBackbone=ResNet-50, Training Data=1%, Protocol=Linear classification2023.05 | 87.1 | |
| Frozen DINOv3Adaptation set=MIMIC-CXR, Probing and evaluation set=CheXpert2026.06 | 87 | |
| ConVIRTBackbone=ResNet-50, Training Data=10%, Protocol=Linear classification2023.05 | 86.8 | |
| GLoRIABackbone=ResNet-50, Training Data=1%, Protocol=Linear classification2023.05 | 86.6 | |
| MedKLIP*Backbone=ResNet-50, Training Data=10%, Protocol=Linear classification, disease-level annotations=true2023.05 | 86.5 | |
| MedKLIP*Backbone=ResNet-50, Training Data=1%, Protocol=Linear classification, disease-level annotations=true2023.05 | 86.2 | |
| ConVIRTBackbone=ResNet-50, Training Data=1%, Protocol=Linear classification2023.05 | 85.9 | |
| ImageNet InitTraining Data=100%, Protocol=Linear classification2023.05 | 81.4 | |
| ImageNet InitTraining Data=10%, Protocol=Linear classification2023.05 | 79.7 | |
| ImageNet InitTraining Data=1%, Protocol=Linear classification2023.05 | 74.4 | |
| Random InitTraining Data=100%, Protocol=Linear classification2023.05 | 65.7 | |
| Random InitTraining Data=10%, Protocol=Linear classification2023.05 | 62.6 | |
| Random InitTraining Data=1%, Protocol=Linear classification2023.05 | 56.1 |