Medical Image Classification on ICH (test)
87.77AccuracyFedIIC
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FedIICBackbone=EfficientNet-B02022.06 | 87.77 | 84.22 | 84.73 | — | — | |
| FedProxYear=MLSys'20, Backbone=EfficientNet-B02022.06 | 86.78 | 79.62 | 82.45 | — | — | |
| FedLCYear=ICML'22, Backbone=EfficientNet-B02022.06 | 84.92 | 76.53 | 78.96 | — | — | |
| FedProcYear=FGCS'23, Backbone=EfficientNet-B02022.06 | 84.89 | 73.29 | 76.23 | — | — | |
| MOONYear=CVPR'21, Backbone=EfficientNet-B02022.06 | 84.87 | 77.05 | 78.81 | — | — | |
| FedAvgYear=AISTATS'17, Backbone=EfficientNet-B02022.06 | 84.83 | 73.75 | 77.35 | — | — | |
| CLIMBYear=ICLR'22, Backbone=EfficientNet-B02022.06 | 84.73 | 72.64 | 76.08 | — | — | |
| FedRSYear=KDD'21, Backbone=EfficientNet-B02022.06 | 84.13 | 72.44 | 76.51 | — | — | |
| CREFFYear=IJCAI'22, Backbone=EfficientNet-B02022.06 | 81.63 | 82.21 | 74.64 | — | — | |
| PRR-ImbYear=TMI'22, Backbone=EfficientNet-B02022.06 | 78.85 | 71.72 | 69.98 | — | — | |
| CoAtNet-2 + uniform soupModel Architecture=CoAtNet-2, Model Soups Technique=uniform soup2026.03 | 72.36 | — | 69.28 | 69.98 | 69.09 | |
| CoAtNet-2 + greedy soupModel Architecture=CoAtNet-2, Model Soups Technique=greedy soup2026.03 | 72.23 | — | 69.05 | 69.91 | 68.81 | |
| CoAtNet-2Model Architecture=CoAtNet-22026.03 | 71.43 | — | 68.58 | 69.34 | 68.4 | |
| CoAtNet-0 + uniform soupModel Architecture=CoAtNet-0, Model Soups Technique=uniform soup2026.03 | 71.3 | — | 66.38 | 66.65 | 67.14 | |
| CoAtNet-0 + greedy soupModel Architecture=CoAtNet-0, Model Soups Technique=greedy soup2026.03 | 71.03 | — | 66.42 | 66.85 | 66.94 | |
| CoAtNet-0Model Architecture=CoAtNet-02026.03 | 70.63 | — | 65.98 | 67.66 | 66.17 | |
| ViTModel Architecture=ViT2026.03 | 70.09 | — | 67.41 | 68.79 | 66.99 | |
| Tran et al.original_source=reported in original paper2026.03 | 66.76 | — | — | — | — | |
| ResNet-50Model Architecture=ResNet-502026.03 | 65.55 | — | 62.8 | 64.72 | 62.33 | |
| Do et al.original_source=reported in original paper2026.03 | 65.32 | — | — | — | — | |
| DenseNet-121Model Architecture=DenseNet-1212026.03 | 64.35 | — | 60.02 | 60.33 | 60.33 | |
| FedFocalYear=IJCAI'20, Backbone=EfficientNet-B02022.06 | 52.3 | 63.04 | 54.8 | — | — |