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Classification on RSNA (test)

84.8F1 ScoreCoGaze
42.05653.15364.2575.347Apr 7, 2024Aug 4, 2024Dec 2, 2024Apr 1, 2025Jul 30, 2025Nov 27, 2025Mar 27, 2026

Evaluation results

MethodLinks
CoGazeLabel Percentage=100%2026.0384.8——
AFLocLabel Percentage=100%2026.0384.5——
EGMALabel Percentage=100%2026.0384.4——
CheXWorldLabel Percentage=100%2026.0384.1——
CoGazeLabel Percentage=10%2026.0383.6——
CoGazeLabel Percentage=1%2026.0383.3——
AFLocLabel Percentage=10%2026.0383——
EGMALabel Percentage=10%2026.0382.5——
AFLocLabel Percentage=1%2026.0381.5——
CheXWorldLabel Percentage=10%2026.0381.4——
CheXWorldLabel Percentage=1%2026.0380.3——
EGMALabel Percentage=1%2026.0379.9——
Base + PairAugLabel ratio=100%2024.0477.188.6385.23
Base + AugImgLabel ratio=100%2024.0476.4187.8484.67
Base + AugText + AugImgLabel ratio=100%2024.0476.2287.7884.68
Base + AugTextLabel ratio=100%2024.0475.3187.483.82
CheXzero-S (Base)Label ratio=100%2024.0475.0886.9983.56
Base + PairAugLabel ratio=1%2024.0473.5185.8983.13
Base + AugImgLabel ratio=1%2024.0472.2884.882.02
Base + AugTextLabel ratio=1%2024.0471.8384.4281.76
Base + AugText + AugImgLabel ratio=1%2024.0471.7984.7981.93
CheXzero-S (Base)Label ratio=1%2024.0470.0583.4580.5
ImageNetLabel ratio=100%2024.0469.1983.6381.6
REFERSLabel Percentage=100%2026.0367.2——
MGCA-ViTLabel Percentage=100%2026.0366.9——
MRMLabel Percentage=10%2026.0366.6——
MRMLabel Percentage=100%2026.0366.5——
MedCLIP-ViTLabel Percentage=100%2026.0366.2——
MedKLIPLabel Percentage=100%2026.0366——
MedCLIP-ViTLabel Percentage=10%2026.0365.3——
M-FLAGLabel Percentage=100%2026.0364.4——
MGCA-ViTLabel Percentage=10%2026.0364.3——
REFERSLabel Percentage=10%2026.0363.8——
MedCLIP-ViTLabel Percentage=1%2026.0363.5——
MRMLabel Percentage=1%2026.0362.6——
MedKLIPLabel Percentage=10%2026.0361.9——
REFERSLabel Percentage=1%2026.0361.7——
MGCA-ViTLabel Percentage=1%2026.0361——
MedKLIPLabel Percentage=1%2026.0360.4——
M-FLAGLabel Percentage=10%2026.0360.3——
RandLabel ratio=100%2024.0459.8977.6779.01
M-FLAGLabel Percentage=1%2026.0356——
ImageNetLabel ratio=1%2024.0448.5374.9877.51
RandLabel ratio=1%2024.0443.761.4877.62
Adam-v2Pre-train Data=IN-21k (12M) & X-rays (0.9M), Backbone=ConvNeXt-B2025.04——73.4
BEITPre-train Data=IN-21k (12M), Backbone=ViT-B2025.04——72.78
CheXWorldPre-train Data=X-rays (0.5M), Backbone=ViT-B2025.04——75.03
DINOPre-train Data=IN-1k (1.3M), Backbone=ViT-B2025.04——71.27
LVM-MedPre-train Data=Medical (1.3M), Backbone=ViT-B2025.04——72.75
MAEPre-train Data=X-rays (0.5M), Backbone=ViT-B2025.04——73.75
MoCo-v3Pre-train Data=IN-1k (1.3M), Backbone=ViT-B2025.04——72.79
Rad-DINOPre-train Data=LVD (142M) & X-rays (public+private), Backbone=ViT-B2025.04——74.51
ScratchPre-train Data=-, Backbone=ViT-B2025.04——66.59
SimMIMPre-train Data=IN-21k (12M) & X-rays (0.9M), Backbone=Swin-B2025.04——74.09