Datasets:
File size: 1,828 Bytes
025b0da |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
# 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
|