List your company
ResearchFormerly WizWand

Semantic Segmentation on RSNA

76.9Dice ScoreG2D (encoder-decoder)
4.12341.960.8Oct 12, 2022Dec 20, 2022Feb 28, 2023May 8, 2023Jul 17, 2023Sep 24, 2023Dec 3, 2023
Updated 8mo ago

Evaluation results

MethodLinks
G2D (encoder-decoder)Training data fraction=100%, architecture=encoder-decoder2023.1276.9
Med-UniCTraining Data Fraction=100%, Disease-level annotations=false2023.0576.7
G2D (encoder)Training data fraction=100%, architecture=encoder2023.1275.1
Med-UniCTraining Data Fraction=10%, Disease-level annotations=false2023.0574.4
G2D (encoder-decoder)Training data fraction=10%, architecture=encoder-decoder2023.1273.4
G2D (encoder-decoder)Training data fraction=1%, architecture=encoder-decoder2023.1272.8
Med-UniCTraining Data Fraction=1%, Disease-level annotations=false2023.0572.6
G2D (encoder)Training data fraction=10%, architecture=encoder2023.1272.6
MedKLIPTraining Data Fraction=100%, Disease-level annotations=true2023.0571.9
MedKLIP*Training data fraction=100%, annotations=disease-level2023.1271.9
G2D (encoder)Training data fraction=1%, architecture=encoder2023.1270.9
M-FLAGLabeled data fraction=100%2023.0770.5
M-FLAGTraining data fraction=100%2023.1270.5
MGCATraining data percentage=100%, Backbone=ResNet50-U-Net2022.1069.8
MGCALabeled data fraction=100%2023.0769.8
MGCATraining Data Fraction=100%, Disease-level annotations=true2023.0569.8
MGCATraining data fraction=100%2023.1269.8
M-FLAGLabeled data fraction=10%2023.0769.7
M-FLAGTraining data fraction=10%2023.1269.7
MedKLIPTraining Data Fraction=10%, Disease-level annotations=true2023.0569.4
MedKLIP*Training data fraction=10%, annotations=disease-level2023.1269.4
GLoRIA-MIMICTraining data percentage=10%, Backbone=ResNet50-U-Net2022.1068.7
GLoRIALabeled data fraction=10%2023.0768.7
GLoRIA-MIMICTraining Data Fraction=10%, Disease-level annotations=false2023.0568.7
GLoRIA-MIMICTraining data fraction=10%2023.1268.7
GLoRIA-MIMICTraining data percentage=100%, Backbone=ResNet50-U-Net2022.1068.3
MGCATraining data percentage=10%, Backbone=ResNet50-U-Net2022.1068.3
GLoRIALabeled data fraction=100%2023.0768.3
MGCALabeled data fraction=10%2023.0768.3
GLoRIA-MIMICTraining Data Fraction=100%, Disease-level annotations=false2023.0568.3
MGCATraining Data Fraction=10%, Disease-level annotations=true2023.0568.3
GLoRIA-MIMICTraining data fraction=100%2023.1268.3
MGCATraining data fraction=10%2023.1268.3
GLoRIATraining data percentage=100%, Backbone=ResNet50-U-Net2022.1067.8
GLoRATraining Data Fraction=100%, Disease-level annotations=false2023.0567.8
GLoRATraining data fraction=100%2023.1267.8
ConVIRTTraining data percentage=100%, Backbone=ResNet50-U-Net2022.1067.5
GLoRIATraining data percentage=10%, Backbone=ResNet50-U-Net2022.1067.5
ConVIRTLabeled data fraction=100%2023.0767.5
ConVIRTTraining Data Fraction=100%, Disease-level annotations=false2023.0567.5
GLoRATraining Data Fraction=10%, Disease-level annotations=false2023.0567.5
ConVIRTTraining data fraction=100%2023.1267.5
GLoRATraining data fraction=10%2023.1267.5
ConVIRTTraining data percentage=10%, Backbone=ResNet50-U-Net2022.1067.4
ConVIRTLabeled data fraction=10%2023.0767.4
ConVIRTTraining Data Fraction=10%, Disease-level annotations=false2023.0567.4
ConVIRTTraining data fraction=10%2023.1267.4
MedKLIPTraining Data Fraction=1%, Disease-level annotations=true2023.0566.2
MedKLIP*Training data fraction=1%, annotations=disease-level2023.1266.2
M-FLAGLabeled data fraction=1%2023.0764.6
M-FLAGTraining data fraction=1%2023.1264.6
ImageNetTraining data percentage=100%, Backbone=ResNet50-U-Net2022.1064
ImageNetLabeled data fraction=100%2023.0764
ImageNetTraining Data Fraction=100%, Disease-level annotations=false2023.0564
ImageNet InitTraining data fraction=100%2023.1264
MGCATraining data percentage=1%, Backbone=ResNet50-U-Net2022.1063
MGCALabeled data fraction=1%2023.0763
MGCATraining Data Fraction=1%, Disease-level annotations=true2023.0563
MGCATraining data fraction=1%2023.1263
GLoRIA-MIMICTraining data percentage=1%, Backbone=ResNet50-U-Net2022.1060.3
GLoRIALabeled data fraction=1%2023.0760.3
GLoRIA-MIMICTraining Data Fraction=1%, Disease-level annotations=false2023.0560.3
GLoRIA-MIMICTraining data fraction=1%2023.1260.3
GLoRIATraining data percentage=1%, Backbone=ResNet50-U-Net2022.1059.3
GLoRATraining Data Fraction=1%, Disease-level annotations=false2023.0559.3
GLoRATraining data fraction=1%2023.1259.3
ConVIRTTraining data percentage=1%, Backbone=ResNet50-U-Net2022.1055
ConVIRTLabeled data fraction=1%2023.0755
ConVIRTTraining Data Fraction=1%, Disease-level annotations=false2023.0555
ConVIRTTraining data fraction=1%2023.1255
ImageNetTraining data percentage=10%, Backbone=ResNet50-U-Net2022.1039.9
ImageNetLabeled data fraction=10%2023.0739.9
ImageNetTraining Data Fraction=10%, Disease-level annotations=false2023.0539.9
ImageNet InitTraining data fraction=10%2023.1239.9
ImageNetTraining data percentage=1%, Backbone=ResNet50-U-Net2022.1034.8
ImageNetLabeled data fraction=1%2023.0734.8
ImageNetTraining Data Fraction=1%, Disease-level annotations=false2023.0534.8
ImageNet InitTraining data fraction=1%2023.1234.8
RandomTraining data percentage=100%, Backbone=ResNet50-U-Net2022.1018.5
RandomLabeled data fraction=100%2023.0718.5
RandomTraining Data Fraction=100%, Disease-level annotations=false2023.0518.5
Random InitTraining data fraction=100%2023.1218.5
RandomTraining data percentage=10%, Backbone=ResNet50-U-Net2022.1010.6
RandomLabeled data fraction=10%2023.0710.6
RandomTraining Data Fraction=10%, Disease-level annotations=false2023.0510.6
Random InitTraining data fraction=10%2023.1210.6
RandomTraining data percentage=1%, Backbone=ResNet50-U-Net2022.106.9
RandomLabeled data fraction=1%2023.076.9
RandomTraining Data Fraction=1%, Disease-level annotations=false2023.056.9
Random InitTraining data fraction=1%2023.126.9