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MedOtter/PENGWIN_Task1

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The declared licence (cc-by-4.0) is classified as permissive.

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cc-by-4.0, from the tagEvidence: README.md at 9f8b8ac
Licence files
LICENSE.txt, detected as cc-by-4.0Evidence: LICENSE.txt at 9f8b8ac
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Tasks

Citation text from the card

@article{sang2026pengwin,
  author  = {Sang, Yudi and Liu, Yanzhen and Yibulayimu, Sutuke and others},
  title   = {Benchmark of Segmentation Techniques for Pelvic Fracture in CT and
             X-Ray: Summary of the PENGWIN 2024 Challenge},
  journal = {IEEE Transactions on Medical Imaging},
  year    = {2026},
  doi     = {10.1109/TMI.2025.3650126}
}

@inproceedings{liu2023pelvic,
  author    = {Liu, Yanzhen and Yibulayimu, Sutuke and Sang, Yudi and Zhu, Gang
               and Wang, Yu and Zhao, Chunpeng and Wu, Xinbao},
  title     = {Pelvic Fracture Segmentation Using a Multi-scale Distance-Weighted
               Neural Network},
  booktitle = {MICCAI 2023},
  pages     = {312--321},
  year      = {2023},
  doi       = {10.1007/978-3-031-43996-4_30}
}

@article{liu2025automatic,
  author  = {Liu, Yanzhen and Yibulayimu, Sutuke and Zhu, Gang and others},
  title   = {Automatic pelvic fracture segmentation: a deep learning approach
             and benchmark dataset},
  journal = {Frontiers in Medicine},
  volume  = {12},
  pages   = {1511487},
  year    = {2025},
  doi     = {10.3389/fmed.2025.1511487}
}

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dataset_licence({ "id": "MedOtter/PENGWIN_Task1" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0