PanNuke
ImagesMedicalCC BY-NC-SA 4.0
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/
Benchmarks
10-shot image generation/PQ2D Classification/Average F12D Classification/Average Precision2D Classification/Average RecallCell Segmentation/Average DiceMedical Image Segmentation/Average DiceMulti-tissue Nucleus Segmentation/DiceMulti-tissue Nucleus Segmentation/Jaccard IndexMulti-tissue Nucleus Segmentation/PQPanoptic Segmentation/PQSemantic Segmentation/PQ