# 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