---
license: cc-by-nc-sa-4.0
task_categories:
- image-segmentation
tags:
- medical
size_categories:
- 1K<n<10K
---

# Dataset Summary

We present PanTS (The Pancreatic Tumor Segmentation Dataset) recently created by JHU. It is a large-scale, multi-institutional dataset, containing 36,390 three-dimensional CT volumes from 145 medical centers, with expert-validated, voxel-wise annotations of over 993,000 anatomical structures, covering pancreatic tumors, pancreas head, body, and tail, and 24 surrounding anatomical structures such as vascular/skeletal structures and abdominal/thoracic organs.

As the largest and most comprehensive resource of its kind, PanTS offers a new benchmark for developing and evaluating AI models in pancreatic CT analysis.

This repository presents our training, PanTS-tr (n=9,000), and in-distribution testing images, PanTS-te (n=901).


# Paper

<b>PanTS: The Pancreatic Tumor Segmentation Dataset</b> <br/>
[Wenxuan Li](https://scholar.google.com/citations?hl=en&user=tpNZM2YAAAAJ), [Xinze Zhou](), [Qi Chen](), [Tianyu Lin](), [Pedro R.A.S. Bassi](),..., [Alan Yuille](https://www.cs.jhu.edu/~ayuille/), [Zongwei Zhou](https://www.zongweiz.com/)<sup>★</sup> <br/>
Johns Hopkins University

<a href='https://www.zongweiz.com/dataset'><img src='https://img.shields.io/badge/Project-Page-Green'></a> <a href='https://www.cs.jhu.edu/~zongwei/publication/li2025pants.pdf'><img src='https://img.shields.io/badge/Paper-PDF-purple'></a>


---

# Downloading Instructions


```shell
git clone https://github.com/MrGiovanni/PanTS.git
cd PanTS
bash download_PanTS_data.sh # It needs ~300GB storage
bash download_PanTS_label.sh http://www.cs.jhu.edu/~zongwei/dataset/PanTSMini_Label.tar.gz
```

## Citation 

```
@article{li2025pants,
  title={PanTS: The Pancreatic Tumor Segmentation Dataset},
  author={Li, Wenxuan and Zhou, Xinze and Chen, Qi and Lin, Tianyu and Bassi, Pedro RAS and Plotka, Szymon and Cwikla, Jaroslaw B and Chen, Xiaoxi and Ye, Chen and Zhu, Zheren and others},
  journal={arXiv preprint arXiv:2507.01291},
  year={2025},
  url={https://github.com/MrGiovanni/PanTS}
}
```

## Acknowledgements
This work was supported by the Lustgarten Foundation for Pancreatic Cancer Research, the Patrick J. McGovern Foundation Award, and the National Institutes of Health (NIH) under Award Number R01EB037669. We would like to thank the Johns Hopkins Research IT team in [IT@JH](https://researchit.jhu.edu/) for their support and infrastructure resources where some of these analyses were conducted; especially [DISCOVERY HPC](https://researchit.jhu.edu/research-hpc/). Paper content is covered by patents pending.