PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification
Gamper, Jevgenij and Koohbanani, Navid Alemi and Benet, Ksenija and Khuram, Ali and Rajpoot, Nasir

folder pannuke (3 files)
filefold_2.zip 658.84MB
filefold_3.zip 717.97MB
filefold_1.zip 700.28MB
Type: Dataset
Tags:

Bibtex:
@article{,
title= {PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification},
keywords= {},
author= {Gamper, Jevgenij and Koohbanani, Navid Alemi and Benet, Ksenija and Khuram, Ali and Rajpoot, Nasir},
abstract= {https://i.imgur.com/iYlXSCm.png


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. Models trained on pannuke can aid in whole slide image tissue type segmentation, and generalise to new tissues. PanNuke demonstrates one of the first succesfully semi-automatically generated datasets.

## citation

```
@inproceedings{gamper2019pannuke,
  title={PanNuke: an open pan-cancer histology dataset for nuclei instance segmentation and classification},
  author={Gamper, Jevgenij and Koohbanani, Navid Alemi and Benet, Ksenija and Khuram, Ali and Rajpoot, Nasir},
  booktitle={European Congress on Digital Pathology},
  pages={11--19},
  year={2019},
  organization={Springer}
}
@article{gamper2020pannuke,
  title={PanNuke Dataset Extension, Insights and Baselines},
  author={Gamper, Jevgenij and Koohbanani, Navid Alemi and Graham, Simon and Jahanifar, Mostafa and Khurram, Syed Ali and Azam, Ayesha and Hewitt, Katherine and Rajpoot, Nasir},
  journal={arXiv preprint arXiv:2003.10778},
  year={2020}
}
```

https://i.imgur.com/T4ogyHR.png},
terms= {},
license= {http://creativecommons.org/licenses/by-nc-sa/4.0/},
superseded= {},
url= {https://jgamper.github.io/PanNukeDataset/}
}

Hosted by users:

Send Feedback Start
   0.000004
DB Connect
   0.000473
Lookup hash in DB
   0.000889
Get torrent details
   0.000669
Get torrent details, finished
   0.000634
Get authors
   0.000070
Parse bibtex
   0.000990
Write header
   0.000838
get stars
   0.000607
home tab
   0.000943
render right panel
   0.000013
render ads
   0.000056
fetch current hosters
   0.000852
Done