Medical Image Segmentation on Nuclei
86.7Dice ScoreU-Net (Full Precision)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| U-Net (Full Precision)Weights=Full Precision, Activations=Full Precision2026.01 | 86.7 | 77.6 | 87.4 | |
| U-Net (INT8)Weights=INT8, Activations=Binary2026.01 | 82.3 | 74.1 | 85.1 | |
| U-Net (INT4)Weights=INT4, Activations=Binary2026.01 | 81.9 | 73.9 | 85 | |
| MBU-NetWeights=Ternary (Masked), Activations=Binary2026.01 | 81.7 | 72.2 | 83.9 | |
| DSFedMedSetting=Federated2026.01 | 64.4 | 49.8 | — | |
| FedSAMSetting=Federated2026.01 | 62.3 | 48 | — | |
| FedTinySAMSetting=Federated2026.01 | 62 | 47.3 | — | |
| SAMSetting=Centralized, Mode=ceiling2026.01 | 61.7 | 46.7 | — | |
| FedMSASetting=Federated2026.01 | 61.7 | 47.2 | — | |
| FednnU-NetSetting=Federated2026.01 | 60.3 | 45 | — | |
| FedU-NetSetting=Federated2026.01 | 59 | 43.5 | — | |
| U-Net (Binary)Weights=Binary, Activations=Binary2026.01 | 43.4 | 30.2 | 46.4 |