Nuclei Detection and Classification on PUMA Challenge Track 2 (test)
28.04Average F1KongNet
Evaluation Results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| KongNet2025.10 | 28.04 | 79.81 | 42.93 | 2.86 | 8 | 20.45 | 78.77 | 0 | 10.93 | 24.18 | 12.5 | |
| Team LSMModel Description=Multi-Stage Network2025.10 | 27.6 | 79.39 | 33.98 | 10 | 8.43 | 29.65 | 74.44 | 0 | 11.67 | 17.19 | 11.27 | |
| Team LSMModel Architecture=Multi-Stage Network2025.10 | 27.07 | 79.35 | 29.78 | 16.41 | 8.17 | 24.01 | 62.99 | 6.88 | 20.53 | 17.95 | 4.65 | |
| KongNet2025.10 | 26.56 | 79.52 | 29.27 | 11.7 | 7.07 | 21.54 | 66.42 | 3.61 | 21.23 | 19.31 | 5.95 | |
| Team rictoostatus=not publicly released2025.10 | 25.12 | 78.96 | 30.04 | 2.86 | 8.31 | 28.34 | 70.99 | 0 | 12.69 | 18.96 | 0 | |
| Team rictooMethod Release Status=not publicly released2025.10 | 24.16 | 81.9 | 23.19 | 3.94 | 8.09 | 24.13 | 61.36 | 0.68 | 23.59 | 14.74 | 0 | |
| Team UMEModel Architecture=CellViT++, Fine-tuning=true, Hyperparameter Sweep=true2025.10 | 23.35 | 75.74 | 25 | 11.16 | 6.32 | 20.64 | 61.07 | 2.2 | 14.21 | 14.94 | 2.18 | |
| BaselineBackbone=HoVer-NeXt2025.10 | 22.74 | 72.04 | 22.38 | 10 | 2.5 | 19.2 | 69.23 | 0 | 8.43 | 16.35 | 7.25 | |
| Team UMEBackbone=CellViT++, Fine-tuned=true2025.10 | 22.61 | 70.94 | 24.16 | 4.72 | 8 | 20.2 | 70.32 | 0 | 18.18 | 20.63 | 5.3 | |
| BaselineModel Architecture=HoVer-NeXt2025.10 | 20.4 | 67.95 | 19.8 | 2.62 | 0.56 | 18.85 | 58.47 | 4.02 | 15.53 | 12 | 4.22 |