Pancreas-CT

License

CC BY 3.0
Creative Commons Attribution 3.0 International License

Citation

Paper 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:

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