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ResearchFormerly WizWand

Classification on PDAC

92.31AccuracyS3R-BR
77.448481.306785.16589.0233Sep 19, 2022
Updated 8mo ago

Evaluation results

MethodLinks
S3R-BRBackbone=ResNet182022.0992.311.1
S3R-CRBackbone=ResNet182022.0991.212.23
S3R-CRBackbone=ResNet502022.0991.211.68
S3R-BRBackbone=ResNet502022.0990.111.27
SimSiamBackbone=ResNet50, Number of bands=40 bands2022.0987.911.27
BYOLBackbone=ResNet50, Number of bands=3 bands2022.0986.812.28
SimSiamBackbone=ResNet18, Number of bands=3 bands2022.0986.811.1
SimSiamBackbone=ResNet50, Number of bands=3 bands2022.0986.811.68
IN1K pre-trainedBackbone=ResNet502022.0985.711.68
BYOLBackbone=ResNet50, Number of bands=40 bands2022.0985.711.68
SimSiamBackbone=ResNet18, Number of bands=40 bands2022.0985.711.67
IN1K pre-trainedBackbone=ResNet182022.0983.521.68
BYOLBackbone=ResNet18, Number of bands=40 bands2022.0983.521.68
MHSIMBackbone=ResNet502022.0983.520.64
BYOLBackbone=ResNet18, Number of bands=3 bands2022.0982.421.68
MHSIMBackbone=ResNet182022.0981.321.1
ScratchBackbone=ResNet502022.0980.221.1
SSADBackbone=ResNet182022.0980.222.29
SSADBackbone=ResNet502022.0980.222.2
Conv-DeconvBackbone=ResNet502022.0980.221.68
Conv-DeconvBackbone=ResNet182022.0979.121.68
ScratchBackbone=ResNet182022.0978.022.28