| # HaN-Seg: The head and neck organ-at-risk CT & MR segmentation dataset |
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| ## License |
| **CC BY-NC-ND 4.0** |
| [Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License](https://creativecommons.org/licenses/by-nc-nd/4.0/) |
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| We have obtained special permission from the original dataset authors to release our derivative segmentations on the images. |
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| ## Citation |
| Paper BibTeX: |
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| ```bibtex |
| @article{podobnik2023han, |
| title={HaN-Seg: The head and neck organ-at-risk CT and MR segmentation dataset}, |
| author={Podobnik, Ga{\v{s}}per and Strojan, Primo{\v{z}} and Peterlin, Primo{\v{z}} and Ibragimov, Bulat and Vrtovec, Toma{\v{z}}}, |
| journal={Medical physics}, |
| volume={50}, |
| number={3}, |
| pages={1917--1927}, |
| year={2023}, |
| publisher={Wiley Online Library} |
| } |
| ``` |
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| ## Dataset description |
| HaN-Seg provides anonymized CT and T1-weighted MR scans of 42 head and neck cancer patients acquired for image-guided radiotherapy planning. Each CT scan includes expert-curated binary masks for 30 organs-at-risk (OARs), enabling research on multimodal image analysis and precise radiotherapy planning. |
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| **Challenge homepage**: https://han-seg2023.grand-challenge.org/ |
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| **Number of CT volumes**: 42 |
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| **Contrast**: Contrast-enhanced |
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| **CT body coverage**: Head and neck |
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| **Does the dataset include any ground truth annotations?**: Yes |
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| **Original GT annotation targets**: (30 OARs) arytenoids, brainstem, carotid artery, cervical esophagus, cochlea, cricopharyngeal inlet, lacrimal gland, larynx—glottis, larynx—supraglottic, lips, mandible, optic chiasm, optic nerve, oral cavity, parotid gland, pituitary gland, spinal cord, submandibular gland, and thyroid |
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| **Number of annotated CT volumes**:42 |
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| **Annotator**: Human |
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| **Acquisition centers**: Institute of Oncology Ljubljana, Slovenia |
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| **Pathology/Disease**: All cases represent pathological conditions, predominantly head and neck tumors. Other pathologies may also be present, as the dataset was not systematically screened for them. |
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| **Original dataset download link**: https://zenodo.org/records/7442914#.ZBtfBHbMJaQ |
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| **Original dataset format**: nrrd |
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| ## Note |
| We did not include the original GT annotations for spinal cord from HaN-Seg. Since other datasets in CADS cover a larger field of view where the spinal cord extends below the head-and-neck, we generated our own spinal cord segmentations on Han-Seg images to ensure consistency across CADS. |
