Datasets:
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# MICCAI Multi-Atlas Labeling Beyond the Cranial Vault (Cervix)
## License
**CC BY 4.0**
[Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/)
## Citation
Paper BibTeX:
```bibtex
@inproceedings{landman2015miccai,
title={Miccai multi-atlas labeling beyond the cranial vault--workshop and challenge},
author={Landman, Bennett and Xu, Zhoubing and Igelsias, Juan and Styner, Martin and Langerak, Thomas and Klein, Arno},
booktitle={Proc. MICCAI multi-atlas labeling beyond cranial vault—workshop challenge},
volume={5},
pages={12},
year={2015},
organization={Munich, Germany}
}
```
## Dataset description
This dataset extends multi-atlas labeling to clinically acquired abdominal CT, focusing on cervical cancer patients eligible for radiotherapy. Scans were obtained under a full-bladder protocol, with most patients in prone position and high-resolution axial slices. Standard registration data was generated using ElastiX.
**Challenge homepage**: https://www.synapse.org/Synapse:syn3193805/wiki/89480
**Number of CT volumes**: 50
**Contrast**: Contrast-enhanced (portal venous phase)
**CT body coverage**: Abdomen
**Does the dataset include any ground truth annotations?**: Yes
**Original GT annotation targets**: Bladder, uterus, rectum, small bowel
**Number of annotated CT volumes**: 30
**Annotator**: Human
**Acquisition centers**: Vanderbilt University Medical Center (VUMC)
**Pathology/Disease**: Cervical cancer patients at various disease stages, all eligible for radiotherapy
**Original dataset download link**: https://www.synapse.org/Synapse:syn3193805/files/
**Original dataset format**: nifti
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