HER2 status classification on BCI (test)
95.6AccuracyLGD-Net
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| LGD-NetInput Modality=H&E2026.02 | 95.6 | 96.44 | 94.53 | |
| FeatureFusionInput Modality=H&E + real IHC, Framework=Bidirectional Cross-Modal Reconstruction2026.02 | 94.37 | 93.75 | 91.9 | |
| FeatureConcatInput Modality=H&E + real IHC, Type=Feature level concat with attention2026.02 | 93.76 | 94.29 | 92.08 | |
| ImageConcatInput Modality=H&E + real IHC, Type=Image concatenation2026.02 | 90.99 | 89.29 | 87.24 | |
| IHC UnimodalInput Modality=IHC, Backbone=ResNet-502026.02 | 89.46 | 89.06 | 86.42 | |
| H&E UnimodalInput Modality=H&E, Backbone=ResNet-502026.02 | 82.29 | 79.35 | 75.43 |