| | # SAROS: A dataset for whole-body region and organ segmentation in CT imaging |
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| | ## License |
| | Mix of **[CC BY 3.0](https://creativecommons.org/licenses/by/3.0/)**, **[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)**, and **[CC BY-NC 3.0](https://creativecommons.org/licenses/by-nc/3.0/)**. |
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| | ## Citation |
| | Paper BibTeX: |
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|
| | ```bibtex |
| | @article{koitka2024saros, |
| | title={SAROS: A dataset for whole-body region and organ segmentation in CT imaging}, |
| | author={Koitka, Sven and Baldini, Giulia and Kroll, Lennard and van Landeghem, Natalie and Pollok, Olivia B and Haubold, Johannes and Pelka, Obioma and Kim, Moon and Kleesiek, Jens and Nensa, Felix and others}, |
| | journal={Scientific Data}, |
| | volume={11}, |
| | number={1}, |
| | pages={483}, |
| | year={2024}, |
| | publisher={Nature Publishing Group UK London} |
| | } |
| | ``` |
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|
| | Dataset: |
| | ```bibtex |
| | Koitka, S., Baldini, G., Kroll, L., van Landeghem, N., Haubold, J., Sung Kim, M., Kleesiek, J., Nensa, F., & Hosch, R. (2023). SAROS – A large, heterogeneous, and sparsely annotated segmentation dataset on CT imaging data (SAROS) (Version 2) [Data set]. The Cancer Imaging Archive. https://doi.org/10.25737/SZ96-ZG60 |
| | ``` |
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| | ## Dataset description |
| | Sparsely Annotated Region and Organ Segmentation (SAROS) is a large, heterogeneous CT segmentation dataset from TCIA, designed to support body composition analysis. Initial annotations were generated using in-house segmentation models and manually refined on every fifth axial slice, with remaining slices labeled as “ignore” (value 255). |
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| | It includes 900 CT series from 882 patients, sampled from multiple TCIA collections such as ACRIN-FLT-Breast, ACRIN-HNSCC-FDG-PET/CT, ACRIN-NSCLC-FDG-PET, C4KC-KiTS, LIDC-IDRI, Pancreas-CT, QIN-HEADNECK, and various TCGA cohorts. |
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| | **Number of CT volumes**: 900 |
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| | **Contrast**: - |
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| | **CT body coverage**: Various |
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| | **Does the dataset include any ground truth annotations?**: Yes |
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| | **Original GT annotation targets**: Subcutaneous tissue, muscle, abdominal cavity, thoracic cavity, bones, gland structure, pericardium, prosthetic breast implant, mediastinum |
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| | **Number of annotated CT volumes**: 900 |
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| | **Annotator**: In-house segmentation models + human refinement |
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| | **Acquisition centers**: - |
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| | **Pathology/Disease**: - |
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| | **Original dataset download link**: https://www.cancerimagingarchive.net/analysis-result/saros/ |
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| | A script to download and resample the images in GitHub repository: https://github.com/UMEssen/saros-dataset |
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| | **Original dataset format**: DICOM |
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