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# CT-ORG: Multiple Organ Segmentation in CT |
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## License |
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**CC BY 3.0** |
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[Creative Commons Attribution 3.0 License](https://creativecommons.org/licenses/by/3.0/) |
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## Citation |
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Paper BibTeX: |
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```bibtex |
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@article{rister2020ct, |
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title={CT-ORG, a new dataset for multiple organ segmentation in computed tomography}, |
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author={Rister, Blaine and Yi, Darvin and Shivakumar, Kaushik and Nobashi, Tomomi and Rubin, Daniel L}, |
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journal={Scientific Data}, |
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volume={7}, |
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number={1}, |
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pages={381}, |
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year={2020}, |
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publisher={Nature Publishing Group UK London} |
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} |
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``` |
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Dataset: |
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```bibtex |
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Rister, B., Shivakumar, K., Nobashi, T., & Rubin, D. L. (2019). CT-ORG: A Dataset of CT Volumes With Multiple Organ Segmentations (Version 1) [dataset]. The Cancer Imaging Archive. DOI: 10.7937/tcia.2019.tt7f4v7o |
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``` |
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## Dataset description |
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CT-ORG contains 140 CT scans from diverse sources, each with 3D segmentations of five organs, and brain labels in some cases. The dataset covers a wide range of imaging conditions and includes both benign and malignant liver lesions, as well as metastatic disease in bones and lungs, providing a challenging benchmark for multi-class organ segmentation. |
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**Number of CT volumes**: 140 |
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**Contrast**: Both contrast-enhanced and non-contrast; includes PET-CT derived scans |
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**CT body coverage**: Abdominal and full-body |
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**Does the dataset include any ground truth annotations?**: Yes |
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**Original GT annotation targets**: Liver, urinary bladder, lungs, kidneys, bone |
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**Number of annotated CT volumes**: 140 |
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**Annotator**: Human (lungs and bones partly from morphological algorithms) |
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**Acquisition centers**: Multiple global institutions, Ludwig Maxmilian University of Munich, Radboud University Medical Center of Nijmegen, Poly-technique & CHUM Research Center Montreal, Tel Aviv University, Sheba Medical Center, IRCAD Institute Strasbourg and Hebrew University of Jerusalem. The PET-CT images all derive from Stanford Healthcare. |
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**Pathology/Disease**: Benign and malignant liver lesions, metastatic disease in bones and lungs |
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**Original dataset download link**: https://www.cancerimagingarchive.net/collection/ct-org/ |
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**Original dataset format**: nifti |
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