Two-view breast cancer classification on INbreast (test)
0.819AUCDisAsymNet
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DisAsymNetBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.819 | — | |
| AsyC & AsyDBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.798 | — | |
| PHResNet18Params=13M, Pretraining=Patches + CBIS2022.04 | 0.793 | 83.019 | |
| ResNet18Params=26M, Pretraining=Patches + CBIS2022.04 | 0.789 | 81.887 | |
| ResNet-18Backbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.768 | — | |
| PHResNet50Params=16M, Pretraining=Patches + CBIS2022.04 | 0.759 | 80 | |
| ResNet50Params=32M, Pretraining=Patches + CBIS2022.04 | 0.755 | 77.358 | |
| Wang et al.Backbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.755 | — | |
| AsyD & SynBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.754 | — | |
| Late fusionBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.748 | — | |
| AsyCBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.746 | — | |
| AsyDBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.669 | — | |
| CVTBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.615 | — |