| # 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 |
|
|
|
|
