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Semantic Segmentation on SIIM

75.9Dice Coefficient (%)GLINT-CXR
7.57225.31143.0560.789Oct 12, 2022May 21, 2023Dec 29, 2023Aug 6, 2024Mar 16, 2025Oct 23, 2025Jun 2, 2026

Evaluation results

MethodLinks
GLINT-CXREvaluation Protocol=Downstream2026.0675.9
G2D (encoder-decoder)Training data fraction=100%, architecture=encoder-decoder2023.1268.4
G2D (encoder-decoder)Training data fraction=10%, architecture=encoder-decoder2023.1266.9
G2D (encoder)Training data fraction=100%, architecture=encoder2023.1266.8
G2D (encoder-decoder)Training data fraction=1%, architecture=encoder-decoder2023.1265.6
KoBo-VitEvaluation Protocol=Few-shot-Frozen, Backbone=ViT2023.0765.54
M-FLAGLabeled data fraction=100%2023.0764.8
M-FLAGTraining data fraction=100%2023.1264.8
RAD-DINOEvaluation Protocol=Downstream2026.0664.6
Med-UniCTraining Data Fraction=100%, Disease-level annotations=false2023.0564.4
MGCATraining data percentage=100%, Backbone=ResNet50-U-Net2022.1064.2
MGCALabeled data fraction=100%2023.0764.2
MGCATraining Data Fraction=100%, Disease-level annotations=true2023.0564.2
MGCATraining data fraction=100%2023.1264.2
GLoRIA-MIMICTraining data percentage=100%, Backbone=ResNet50-U-Net2022.1064
GLoRIALabeled data fraction=100%2023.0764
GLoRIA-MIMICTraining Data Fraction=100%, Disease-level annotations=false2023.0564
GLoRIA-MIMICTraining data fraction=100%2023.1264
KoBoEvaluation Protocol=Few-shot-Frozen, Backbone=ResNet-502023.0763.93
MedKLIPTraining Data Fraction=100%, Disease-level annotations=true2023.0563.9
MedKLIP*Training data fraction=100%, annotations=disease-level2023.1263.9
ImageNetTraining data percentage=100%, Backbone=ResNet50-U-Net2022.1063.5
ImageNetLabeled data fraction=100%2023.0763.5
ImageNetTraining Data Fraction=100%, Disease-level annotations=false2023.0563.5
ImageNet InitTraining data fraction=100%2023.1263.5
GLoRIATraining data percentage=100%, Backbone=ResNet50-U-Net2022.1063.4
GLoRATraining Data Fraction=100%, Disease-level annotations=false2023.0563.4
GLoRATraining data fraction=100%2023.1263.4
G2D (encoder)Training data fraction=10%, architecture=encoder2023.1263.1
G2D (encoder)Training data fraction=1%, architecture=encoder2023.1262.6
Med-UniCTraining Data Fraction=10%, Disease-level annotations=false2023.0562.2
MGCAEvaluation Protocol=Downstream2026.0662
M-FLAGLabeled data fraction=10%2023.0761.2
M-FLAGTraining data fraction=10%2023.1261.2
MedKLIPTraining Data Fraction=10%, Disease-level annotations=true2023.0560.8
MedKLIP*Training data fraction=10%, annotations=disease-level2023.1260.8
MRMEvaluation Protocol=Downstream2026.0660.2
ConVIRTTraining data percentage=100%, Backbone=ResNet50-U-Net2022.1059.9
ConVIRTLabeled data fraction=100%2023.0759.9
ConVIRTTraining Data Fraction=100%, Disease-level annotations=false2023.0559.9
ConVIRTTraining data fraction=100%2023.1259.9
MGCATraining data percentage=10%, Backbone=ResNet50-U-Net2022.1059.3
MGCALabeled data fraction=10%2023.0759.3
MGCATraining Data Fraction=10%, Disease-level annotations=true2023.0559.3
MGCATraining data fraction=10%2023.1259.3
CheXWorldEvaluation Protocol=Downstream2026.0658.2
GLoRIA-MIMICTraining data percentage=10%, Backbone=ResNet50-U-Net2022.1057.1
GLoRIALabeled data fraction=10%2023.0757.1
GLoRIA-MIMICTraining Data Fraction=10%, Disease-level annotations=false2023.0557.1
GLoRIA-MIMICTraining data fraction=10%2023.1257.1
MGCAEvaluation Protocol=Few-shot-Frozen, Backbone=ResNet-50, Weights=Reproduced2023.0756.96
Med-UniCTraining Data Fraction=1%, Disease-level annotations=false2023.0556.7
MedCLIPEvaluation Protocol=Few-shot-Frozen, Backbone=ResNet-50, Weights=Official2023.0756.19
GloriaEvaluation Protocol=Few-shot-Frozen, Backbone=ResNet-50, Weights=Reproduced2023.0754.79
RandomTraining data percentage=100%, Backbone=ResNet50-U-Net2022.1054.3
RandomLabeled data fraction=100%2023.0754.3
RandomTraining Data Fraction=100%, Disease-level annotations=false2023.0554.3
Random InitTraining data fraction=100%2023.1254.3
M-FLAGLabeled data fraction=1%2023.0752.5
M-FLAGTraining data fraction=1%2023.1252.5
MAVLEvaluation Protocol=Downstream2026.0652.3
KADEvaluation Protocol=Downstream2026.0651.6
MedKLIPTraining Data Fraction=1%, Disease-level annotations=true2023.0550.2
MedKLIP*Training data fraction=1%, annotations=disease-level2023.1250.2
ConVIRTEvaluation Protocol=Few-shot-Frozen, Backbone=ResNet-50, Weights=Reproduced2023.0749.92
MedKLIPEvaluation Protocol=Downstream2026.0649.9
MGCATraining data percentage=1%, Backbone=ResNet50-U-Net2022.1049.7
MGCALabeled data fraction=1%2023.0749.7
MGCATraining Data Fraction=1%, Disease-level annotations=true2023.0549.7
MGCATraining data fraction=1%2023.1249.7
GLoRIATraining data percentage=10%, Backbone=ResNet50-U-Net2022.1046.9
GLoRATraining Data Fraction=10%, Disease-level annotations=false2023.0546.9
GLoRATraining data fraction=10%2023.1246.9
ConVIRTTraining data percentage=10%, Backbone=ResNet50-U-Net2022.1043.2
ConVIRTLabeled data fraction=10%2023.0743.2
ConVIRTTraining Data Fraction=10%, Disease-level annotations=false2023.0543.2
ConVIRTTraining data fraction=10%2023.1243.2
DINOv3Evaluation Protocol=Downstream2026.0639.9
GLoRIA-MIMICTraining data percentage=1%, Backbone=ResNet50-U-Net2022.1037.4
GLoRIALabeled data fraction=1%2023.0737.4
GLoRIA-MIMICTraining Data Fraction=1%, Disease-level annotations=false2023.0537.4
GLoRIA-MIMICTraining data fraction=1%2023.1237.4
GLoRIATraining data percentage=1%, Backbone=ResNet50-U-Net2022.1035.8
GLoRATraining Data Fraction=1%, Disease-level annotations=false2023.0535.8
GLoRATraining data fraction=1%2023.1235.8
ImageNetTraining data percentage=10%, Backbone=ResNet50-U-Net2022.1035.5
ImageNetLabeled data fraction=10%2023.0735.5
ImageNetTraining Data Fraction=10%, Disease-level annotations=false2023.0535.5
ImageNet InitTraining data fraction=10%2023.1235.5
GLINT-CXRzero-shot=true2026.0631.7
RandomTraining data percentage=10%, Backbone=ResNet50-U-Net2022.1028.6
RandomLabeled data fraction=10%2023.0728.6
RandomTraining Data Fraction=10%, Disease-level annotations=false2023.0528.6
Random InitTraining data fraction=10%2023.1228.6
ConVIRTTraining data percentage=1%, Backbone=ResNet50-U-Net2022.1025
ConVIRTLabeled data fraction=1%2023.0725
ConVIRTTraining Data Fraction=1%, Disease-level annotations=false2023.0525
ConVIRTTraining data fraction=1%2023.1225
RadZerozero-shot=true2026.0617.1
ImageNetTraining data percentage=1%, Backbone=ResNet50-U-Net2022.1010.2