Nucleus Detection and Classification on PUMA
81F1 (Lymphocytes)DeNuC
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DeNuCTraining Params.=4.3M2026.03 | 81 | 85.25 | 62.85 | 76.37 | |
| KongNet2025.10 | 80.7 | 81.03 | 50.06 | 70.6 | |
| SMILETraining Params.=100M2026.03 | 80.35 | 77.54 | 52.52 | 70.14 | |
| Team LSMArchitecture=Multi-Stage Network2025.10 | 79.38 | 78.64 | 45.35 | 67.79 | |
| CellViTTraining Params.=143M2026.03 | 79.07 | 81.16 | 57.96 | 72.73 | |
| MCSpatNetTraining Params.=26M2026.03 | 78.25 | 82.05 | 51.54 | 70.61 | |
| SENCTraining Params.=27M2026.03 | 77.38 | 81.51 | 54.38 | 71.09 | |
| Team rictooreleased=false2025.10 | 77.14 | 78.47 | 47.21 | 67.61 | |
| DPA-P2PNetTraining Params.=32M2026.03 | 76.8 | 81.87 | 54.04 | 70.9 | |
| CGTTraining Params.=37M2026.03 | 76.55 | 79.66 | 54.2 | 70.14 | |
| PointNu-NetTraining Params.=160M2026.03 | 76.31 | 79.57 | 52.68 | 69.52 | |
| Hover-NetTraining Params.=34M2026.03 | 75.72 | 78.36 | 49.53 | 67.87 | |
| BaselineArchitecture=HoVer-NeXt2025.10 | 75.27 | 73.37 | 42.35 | 63.67 | |
| Team UMEBackbone=CellViT++, Fine-tuned=true, Hyperparameter sweep=true2025.10 | 74.35 | 72.51 | 36.41 | 61.09 | |
| KongNet2025.10 | 67.46 | 79.48 | 47.04 | 64.66 | |
| Team rictooNote=Methods have not been publicly released at the time of writing2025.10 | 67.29 | 82.1 | 48.18 | 65.85 | |
| BaselineModel=HoVer-NeXt trained by challenge organisers2025.10 | 66.11 | 72.82 | 40.46 | 59.79 | |
| Team LSMDescription=Multi-Stage Network2025.10 | 65.37 | 79.91 | 49.77 | 65.01 | |
| Team UMEModel=CellViT++, Training=fine-tuned, hyper-parameter sweep2025.10 | 62.78 | 76.14 | 36.97 | 58.63 |