MoNuSeg
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Cell Segmentation | MoNuSeg | AJI (Object)69.1 | 28 | |
| Multi-organ Nucleus Segmentation | MoNuSeg (test) | Mean IoU74.04 | 27 | |
| Nuclei Detection | MoNuSeg (test) | AP53 | 18 | |
| Nuclei Segmentation | MoNuSeg | mIoU73.06 | 17 | |
| Medical Image Segmentation | MonuSeg 2018 (unseen) | DSC0.467 | 14 | |
| Cell Segmentation | MonuSeg 2018 (test) | DSC46.7 | 11 | |
| Binary Nuclei Segmentation and Detection | MoNuSeg (test) | DQ87.2 | 10 | |
| Nuclei Instance Segmentation | MoNuSeg unseen organ 1.0 (test2) | AJI63.06 | 8 | |
| Nuclei Instance Segmentation | MoNuSeg seen organ 1.0 (test) | AJI0.6129 | 8 | |
| Object Detection | MoNuSeg 2018 | AP48.7 | 7 | |
| Interactive Segmentation | MonuSeg (test) | User Interaction Time8 | 5 | |
| Object Detection | MoNuSeg | F-score83.6 | 5 | |
| Nuclei Segmentation | MoNuSeg (test) | APm44.4 | 4 | |
| Medical Image Segmentation | MoNuSeg | Dice81.69 | 3 | |
| Nuclei Instance Segmentation | MoNuSeg (test) | F1 Score86.5 | 3 | |
| Nuclei Segmentation | MoNuSeg (5-fold cross val) | Metric- | 0 |
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