Binary Nuclei Detection on PanNuke
84PrecisionCellViT-SAM-H
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CellViT-SAM-Hbackbone=SAM-H2024.08 | 84 | 81 | 83 | |
| CellViT2562024.08 | 83 | 82 | 82 | |
| NuLite-Mbackbone=FastViT-M, reparameterized=true2024.08 | 83 | 82 | 83 | |
| NuLite-Hbackbone=FastViT-H, reparameterized=true2024.08 | 83 | 82 | 83 | |
| HoVer-Net2024.08 | 82 | 79 | 80 | |
| NuLite-Tbackbone=FastViT-T, reparameterized=true2024.08 | 82 | 82 | 82 | |
| HoVer-UNet2024.08 | 80 | 79 | 79 | |
| Micro-Net2024.08 | 78 | 82 | 80 | |
| Mask-RCNN2024.08 | 76 | 68 | 72 | |
| DIST2024.08 | 74 | 71 | 73 | |
| Deformable DETR2026.06 | 0.85 | 0.78 | 0.81 | |
| CellViT2026.06 | 0.83 | 0.82 | 0.82 | |
| CellDETRTraining Mode=Sequential2026.06 | 0.83 | 0.81 | 0.82 | |
| CellDETRTraining Mode=Parallel2026.06 | 0.83 | 0.79 | 0.81 | |
| HoverNet2026.06 | 0.82 | 0.79 | 0.8 | |
| Micro-Net2026.06 | 0.78 | 0.82 | 0.8 | |
| Mask-RCNN2026.06 | 0.76 | 0.68 | 0.72 |