PanNuke
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Instance Segmentation | PanNuke 19 tissue types (three-fold cross-validation) | mPQ59.9 | 120 | |
| Nuclei Detection | PanNuke averaged across three dataset splits | Precision0.88 | 40 | |
| Nuclei Instance Segmentation | PanNuke | Neoplastic Score84.22 | 39 | |
| Nuclei Segmentation | PanNuke T2 | IoU69.3 | 28 | |
| Nuclei Segmentation | PanNuke T1 | mIoU70.36 | 28 | |
| Nuclei Classification | PanNuke (official three-fold splits) | Precision (Neo)75 | 18 | |
| Nuclei Classification | PanNuke | Neoplastic Precision74 | 15 | |
| Nuclei Instance Segmentation | PanNuke (target) | Dice82.97 | 14 | |
| Panoptic Segmentation | PanNuke (three-fold cross-validation) | Neoplastic58.4 | 12 | |
| classification | PanNuke | AUC91.5 | 11 | |
| Nuclei Segmentation | PanNuke | Dice (All Nuclei)79.42 | 11 | |
| Medical Image Segmentation | PanNuke | mIoU85.14 | 10 | |
| Histopathology Image Classification | PanNuke | Accuracy71.52 | 10 | |
| Nuclei Segmentation | PanNuKe | mPQ58.61 | 10 | |
| Binary Nuclei Detection | PanNuke | Precision84 | 10 | |
| Instance Segmentation | PanNuke | MACs (G)89.5 | 8 | |
| Nuclei Panoptic Segmentation | PanNuke (three-fold cross-val) | mPQ50.8 | 8 | |
| Nuclei instance segmentation | PanNuke Average over all tissues | bPQ69.55 | 7 | |
| Nuclei instance segmentation | PanNuke Uterus | Boundary PQ67.54 | 7 | |
| Nuclei instance segmentation | PanNuke Thyroid | bPQ72.93 | 7 | |
| Nuclei instance segmentation | PanNuke Testis | bPQ71.57 | 7 | |
| Nuclei instance segmentation | PanNuke Stomach | bPQ0.7155 | 7 | |
| Nuclei instance segmentation | PanNuke Skin | bPQ67.77 | 7 | |
| Nuclei instance segmentation | PanNuke Prostate | bPQ69.85 | 7 | |
| Nuclei instance segmentation | PanNuke Pancreatic | bPQ69.25 | 7 |
Showing 25 of 64 rows