Intelligent meningioma grading based on medical features
We demonstrate that combining medical features with SNN-Tran can effectively improve the accuracy and reliability of meningioma grading. The SNN-Tran model excel in capturing long-range dependencies in the medical feature sequence.
Authors
- Qiang Gao (ORCID: https://orcid.org/0000-0002-9621-5414)
- Jieyu Liu (ORCID: https://orcid.org/0000-0002-6252-6484)
- Yong Yang
- Zhuo Zhang (ORCID: https://orcid.org/0000-0003-3243-1019)
- Chen Wu (ORCID: https://orcid.org/0000-0001-6035-5004)
- Hua Bai (ORCID: https://orcid.org/0000-0001-9115-9778)
Institutions
- National University of Defense Technology (CN)
- Tiangong University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1002/mp.17808
- Primary Topic
- Meningioma and schwannoma management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Tianjin Research Innovation Project for Postgraduate Students