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ResearchFormerly WizWand

Abnormal classification on DDSM (test)

0.845AUCDisAsymNet
0.765960.786480.8070.82752Jul 6, 2023
Updated 8mo ago

Evaluation results

MethodLinks
DisAsymNetBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.845
AsyC & AsyDBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.841
Wang et al.Backbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.834
AsyCBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.825
AsyD & SynBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.818
Late fusionBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.806
AsyDBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.802
CVTBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.79
ResNet-18Backbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.769
HAMBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.769