PanNuke is a semi automatically generated nuclei instance segmentation and classification dataset with exhaustive nuclei labels across 19 different tissue types. The dataset consists of 481 visual fields, of which 312 are randomly sampled from more than 20K whole slide images at different magnifications, from multiple data sources. In total the dataset contains 205,343 labeled nuclei, each with an instance segmentation mask.
Source: PanNuke Dataset Extension, Insights and Baselines
Image Source: https://jgamper.github.io/PanNukeDataset/
Variants: PanNuke
This dataset is used in 3 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Panoptic Segmentation | NuLite-H | NuLite -- Lightweight and Fast … | 2024-08-03 |
| Panoptic Segmentation | LKCell | LKCell: Efficient Cell Nuclei Instance … | 2024-07-25 |
| Panoptic Segmentation | CellViT-SAM-H | CellViT: Vision Transformers for Precise … | 2023-06-27 |
Recent papers with results on this dataset: