Detecting keypoints with semantic labels on skull point cloud for plastic surgery
The proposed method accurately detects keypoints with surgical semantic labels on dense medical point clouds. Both keypoint detection and segmentation results align closely with the ground truth, providing valuable references for preoperative planning in plastic surgery.
Authors
- Shenghui Liao (ORCID: https://orcid.org/0000-0002-8872-2117)
- Fuchang Han
- Peishan Dai (ORCID: https://orcid.org/0000-0001-5531-2085)
- Xiaoyan Kui (ORCID: https://orcid.org/0000-0002-9957-7867)
- Chi Zhong
- Ziyang Hu (ORCID: https://orcid.org/0009-0002-1354-8262)
- Qiuyang Chen (ORCID: https://orcid.org/0000-0003-3986-2911)
- Xiaohui Qiu
Institutions
- Central South University (CN)
- Third Xiangya Hospital (CN)
- Hunan University of Technology (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-01
- DOI
- https://doi.org/10.21037/qims-24-1358
- Citations
- 1
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.67