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0006_bcv_cervix/README_0006_bcv_cervix.md

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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