Lightweight attention network for guidewire segmentation and localization in clinical fluoroscopic images of vascular interventional surgery
This study introduces a novel guidewire segmentation method specifically designed for clinical TACE. It not only assists physicians during interventional procedures but is also expected to be integrated into the intelligent systems of vascular interventional surgical robots, enabling robotic assistance in the future interventional surgeries.
Authors
- Lian-Xin Wang (ORCID: https://orcid.org/0000-0001-7321-4315)
- Kanqi Wang (ORCID: https://orcid.org/0000-0002-4703-8677)
- Ziyang Mei (ORCID: https://orcid.org/0000-0002-5487-661X)
- Haoyun Wang (ORCID: https://orcid.org/0000-0002-2972-2627)
- Gang Liu (ORCID: https://orcid.org/0000-0002-4238-0561)
- Jingsong Mao (ORCID: https://orcid.org/0000-0002-9973-5263)
- Yang Zhao (ORCID: https://orcid.org/0000-0001-8023-1551)
Institutions
- Guilin Medical University (CN)
- Xiamen University (CN)
- First Affiliated Hospital of Xiamen University (CN)
- Xiamen University of Technology (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-30
- DOI
- https://doi.org/10.21037/qims-2024-2926
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00