{
 "id": "OpenSpineConsortium/CTSpinoPelvic1K",
 "owner": "OpenSpineConsortium",
 "name": "CTSpinoPelvic1K",
 "downloads": 394,
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 "last_modified": "2026-09-23T18:08:06.000Z",
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 "citation": "@misc{ctspinopelvic1k,\n  title        = {{CTSpinoPelvic1K}: A CT-Native Benchmark for Lumbosacral\n                  Transitional Vertebra Segmentation},\n  author       = {Schwing, Gregory and the OpenSpine Consortium},\n  year         = {2026},\n  publisher    = {HuggingFace},\n  howpublished = {\\url{https://huggingface.co/datasets/OpenSpineConsortium/CTSpinoPelvic1K}},\n}\n\n@misc{smith2015ctcolonography,\n  author       = {Smith, K. and Clark, K. and Bennett, W. and Nolan, T. and\n                  Kirby, J. and Wolfsberger, M. and Moulton, J. and\n                  Vendt, B. and Freymann, J.},\n  title        = {Data From CT COLONOGRAPHY},\n  year         = {2015},\n  publisher    = {The Cancer Imaging Archive},\n  doi          = {10.7937/K9/TCIA.2015.NWTESAY1},\n}\n\n@article{deng2021ctspine1k,\n  title   = {{CTSpine1K}: A Large-Scale Dataset for Spinal Vertebrae Segmentation\n             in Computed Tomography},\n  author  = {Deng, Yang and Wang, Ce and Hui, Yuan and Li, Qian and Li, Jun and\n             Luo, Shiwei and Sun, Mengke and Quan, Quan and Yang, Shuxin and\n             Hao, You and Liu, Pengbo and Xiao, Honghu and Zhao, Chunpeng and\n             Wu, Xinbao and Zhou, S. Kevin},\n  journal = {Machine Learning for Biomedical Imaging},\n  volume  = {3},\n  pages   = {824--832},\n  year    = {2021},\n  doi     = {10.59275/j.melba.2025-gf84},\n}\n\n@article{liu2021ctpelvic1k,\n  title   = {Deep Learning to Segment Pelvic Bones: Large-Scale {CT} Datasets and\n             Baseline Models},\n  au",
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}