{
 "id": "MedOtter/PENGWIN_Task1",
 "owner": "MedOtter",
 "name": "PENGWIN_Task1",
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 "last_modified": "2026-08-28T03:51:11.000Z",
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  "image-segmentation"
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 "citation": "@article{sang2026pengwin,\n  author  = {Sang, Yudi and Liu, Yanzhen and Yibulayimu, Sutuke and others},\n  title   = {Benchmark of Segmentation Techniques for Pelvic Fracture in CT and\n             X-Ray: Summary of the PENGWIN 2024 Challenge},\n  journal = {IEEE Transactions on Medical Imaging},\n  year    = {2026},\n  doi     = {10.1109/TMI.2025.3650126}\n}\n\n@inproceedings{liu2023pelvic,\n  author    = {Liu, Yanzhen and Yibulayimu, Sutuke and Sang, Yudi and Zhu, Gang\n               and Wang, Yu and Zhao, Chunpeng and Wu, Xinbao},\n  title     = {Pelvic Fracture Segmentation Using a Multi-scale Distance-Weighted\n               Neural Network},\n  booktitle = {MICCAI 2023},\n  pages     = {312--321},\n  year      = {2023},\n  doi       = {10.1007/978-3-031-43996-4_30}\n}\n\n@article{liu2025automatic,\n  author  = {Liu, Yanzhen and Yibulayimu, Sutuke and Zhu, Gang and others},\n  title   = {Automatic pelvic fracture segmentation: a deep learning approach\n             and benchmark dataset},\n  journal = {Frontiers in Medicine},\n  volume  = {12},\n  pages   = {1511487},\n  year    = {2025},\n  doi     = {10.3389/fmed.2025.1511487}\n}",
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