Graph‐guided frequency‐enhanced state space network for 3D spine segmentation from MR images
GF-SSNet demonstrates performance in spinal segmentation through adaptive fusion of frequency features and global dependencies, providing technical support for intelligent spinal disease diagnosis.
Authors
- Wanbo Xu
- Benzheng Wei
- Zhengchao Zhou
- Linghui Hong
Institutions
- Shandong University of Traditional Chinese Medicine (CN)
- Changzhou Academy of Intelli-Ag Equipment (China) (CN)
- Qingdao Academy of Intelligent Industries (CN)
- Qilu Hospital of Shandong University (CN)
- Dezhou University (CN)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1002/acm2.70481
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province