Abnormal classification on DDSM (test)
0.845AUCDisAsymNet
Evaluation Results
| Method | Links | |
|---|---|---|
| DisAsymNetBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.845 | |
| AsyC & AsyDBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.841 | |
| Wang et al.Backbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.834 | |
| AsyCBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.825 | |
| AsyD & SynBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.818 | |
| Late fusionBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.806 | |
| AsyDBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.802 | |
| CVTBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.79 | |
| ResNet-18Backbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.769 | |
| HAMBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.769 |