A novel dual-branch segmentation algorithm for overall spine segmentation
This highlights its significant potential to assist surgeons in clearly and accurately identifying and locating spinal structures, and it is anticipated to provide robust technical support for the precise execution of spine-related surgeries and the effective diagnosis of diseases.
Authors
- Tian Gao (ORCID: https://orcid.org/0000-0002-1646-5430)
- Hua Lü (ORCID: https://orcid.org/0000-0002-2996-698X)
- Guoli Song (ORCID: https://orcid.org/0000-0003-3236-9286)
- Yuhan Ying
- Yiwen Zhao
- He Zhang (ORCID: https://orcid.org/0009-0001-9268-5742)
- Andi Li (ORCID: https://orcid.org/0000-0003-1677-3553)
- Lei Zhang (ORCID: https://orcid.org/0000-0001-8795-5675)
Institutions
- Jiangnan University (CN)
- Shenyang Institute of Automation (CN)
- Dalian Medical University (CN)
- Chinese Academy of Sciences (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- Wuxi Fourth People's Hospital (CN)
- University of Chinese Academy of Sciences (CN)
- Chongqing Medical University (CN)
- China Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-01
- DOI
- https://doi.org/10.21037/qims-24-2297
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00