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CCSeg: Costal cartilage segmentation with topology guided deformable mamba: Method and benchmark
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.
π‘ 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
π Dataset Highlights
β
165 high-quality CT scan cases
β
Precise voxel-level annotations (covering each individual costal cartilage)
β
Multi-age group data (6-35 years old)
β
Out-of-distribution (OOD) test set (22 cases) for generalization validation
β
Multi-center data collection ensuring diversity
π₯ 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
π¬ 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.
π 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.
π₯ Download & Resources
- Dataset: OSF | CCSeg
- Paper: Costal cartilage segmentation with topology guided deformable mamba: Method and benchmark
- Code: GitHub - EricwanAR/DeformableMambaSeg
π 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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