{
 "id": "MedOtter/LCTSC",
 "owner": "MedOtter",
 "name": "LCTSC",
 "downloads": 438,
 "likes": 0,
 "last_modified": "2026-04-28T23:06:14.000Z",
 "stated_licence": "cc-by-3.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-segmentation"
 ],
 "citation": "Released under **CC BY 3.0** by TCIA.\n\nWhen using this data, cite the original publication and TCIA per [the LCTSC citation policy](https://www.cancerimagingarchive.net/collection/lctsc/):\n\n> Yang J, Veeraraghavan H, Armato SG III, et al. Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017. Med Phys. 2018;45(10):4568-4581. doi:10.1002/mp.13141\n\n> Clark K, Vendt B, Smith K, et al. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. J Digit Imaging. 2013;26(6):1045-1057.\n\nOriginal DOI: [10.7937/K9/TCIA.2017.3R3FVZ08](https://doi.org/10.7937/K9/TCIA.2017.3R3FVZ08).",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-3.0) is classified as permissive.",
 "revision": "bf4e9b1007d729d72524f85166e32e4129658004",
 "stated_evidence": "https://huggingface.co/datasets/MedOtter/LCTSC/blob/bf4e9b1007d729d72524f85166e32e4129658004/README.md",
 "file_evidence": "https://huggingface.co/datasets/MedOtter/LCTSC/tree/bf4e9b1007d729d72524f85166e32e4129658004",
 "card_nc": false
}