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CCSeg: Costal cartilage segmentation with topology guided deformable mamba: Method and benchmark

Python License

We are excited to introduce CCSeg β€” the first publicly available benchmark dataset for Costal Cartilage Segmentation, designed to advance research in computer-aided diagnosis and surgical systems.

πŸ’‘ Why CCSeg?

Costal cartilage segmentation presents significant challenges:

  • Similar intensity values between foreground (cartilage) and background tissues (e.g., liver, intercostal muscles)
  • Particularly difficult for adolescent patients due to softer cartilage texture
  • Lack of public datasets and benchmarks severely limits research progress in this field

πŸ“Š Dataset Highlights

βœ… 165 high-quality CT scan cases
βœ… Precise voxel-level annotations (covering each individual costal cartilage)
βœ… Multi-age group data (6-35 years old)
βœ… Out-of-distribution (OOD) test set (22 cases) for generalization validation
βœ… Multi-center data collection ensuring diversity

πŸ₯ Data Source

  • Primary data: Plastic Surgery Hospital, Chinese Academy of Medical Sciences (2014-2023)
  • External test data: Second Hospital of Hebei Medical University (2021-2024)
  • All data approved by ethics committees with informed patient consent

πŸ”¬ Professional Annotation Process

Segmentation was performed independently by 4 plastic surgery residents under the guidance of radiology experts, with final review and correction by senior plastic surgeons to ensure annotation accuracy and consistency.

πŸ“ˆ Dataset Split

  • Training set: 85 cases
  • Validation set: 40 cases
  • Test set: 40 cases
  • OOD test set: 22 cases

This benchmark dataset provides a solid foundation for medical image analysis research related to costal cartilage, with significant application value in plastic surgery procedures such as auricular reconstruction.

πŸ“₯ Download & Resources

πŸ“– Citation

If you use this dataset or code in your research, please cite our paper:

@article{wang2025costal,
  title={Costal cartilage segmentation with topology guided deformable mamba: Method and benchmark},
  author={Wang, Senmao and Gong, Haifan and Cui, Runmeng and Wan, Boyao and Hu, Zhonglin and Yang, Haiqing and Zhou, Jingyang and Jiang, Haiyue and Lin, Lin},
  journal={Expert Systems with Applications},
  pages={130085},
  year={2025},
  publisher={Elsevier}
}
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