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