A multibranch fusion network (MBF-Net) for intracranial large-vessel occlusion classification
The proposed MBF-Net model provides an advanced solution for the classification of LVO in medical imaging, offering high accuracy and interpretability. The model's performance on imbalanced medical imaging datasets underscores its potential for clinical application.
Authors
- Jingxin Mao (ORCID: https://orcid.org/0009-0003-4105-3395)
- Haowei Duan (ORCID: https://orcid.org/0009-0001-7344-5815)
- Rui Yao (ORCID: https://orcid.org/0000-0002-0227-2750)
- Yuqi Ma (ORCID: https://orcid.org/0009-0001-1617-6823)
- W. Y. Zhang (ORCID: https://orcid.org/0000-0003-1119-0957)
- Yongjun Zhu (ORCID: https://orcid.org/0000-0003-4787-5122)
- Xiaojuan Liu (ORCID: https://orcid.org/0000-0002-9215-7616)
Institutions
- Southwest University (CN)
- Chongqing University of Technology (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-10-29
- DOI
- https://doi.org/10.21037/qims-24-2255
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00