0024_pancreas_ct/README_0024_pancreas_ct.md

# Pancreas-CT

## License
**CC BY 3.0**  
[Creative Commons Attribution 3.0 International License](https://creativecommons.org/licenses/by/3.0/)

## Citation
Paper BibTeX:

```bibtex
@inproceedings{roth2015deeporgan,
  title={Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation},
  author={Roth, Holger R and Lu, Le and Farag, Amal and Shin, Hoo-Chang and Liu, Jiamin and Turkbey, Evrim B and Summers, Ronald M},
  booktitle={International conference on medical image computing and computer-assisted intervention},
  pages={556--564},
  year={2015},
  organization={Springer}
}
```

Dataset:
```bibtex
Roth, H., Farag, A., Turkbey, E. B., Lu, L., Liu, J., & Summers, R. M. (2016). Data From Pancreas-CT (Version 2) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.tNB1kqBU
```

## Dataset description
This dataset includes 82 abdominal contrast-enhanced 3D CT scans from 80 subjects, acquired ~70 seconds after intravenous contrast injection in the portal-venous phase. Pancreas segmentations were performed manually slice-by-slice by a medical student and verified by an experienced radiologist. The scans were obtained on Philips and Siemens MDCT scanners.

**Number of CT volumes**: 80

**Contrast**: Contrast-enhanced CT (~70s after intravenous contrast injection in portal-venous phase)

**CT body coverage**: Abdomen

**Does the dataset include any ground truth annotations?**: Yes

**Original GT annotation targets**: Pancreas

**Number of annotated CT volumes**: -

**Annotator**: Human

**Acquisition centers**: National Institutes of Health Clinical Center in Bethesda, MD, USA.

**Pathology/Disease**: Healthy controls

**Original dataset download link**: https://www.cancerimagingarchive.net/collection/pancreas-ct/

**Original dataset format**: DICOM