Magnetic resonance imaging-based deep learning for predicting subtypes of glioma
We have developed a set of models that can effectively classify glioma subtypes and that work best when only the FLAIR sequence model is included.
Authors
- Yi Ding (ORCID: https://orcid.org/0000-0002-2158-3108)
- Yong Liu (ORCID: https://orcid.org/0000-0002-9801-9193)
- Zhen Yang (ORCID: https://orcid.org/0000-0002-0005-6261)
- Peng Zhang (ORCID: https://orcid.org/0000-0003-1777-3790)
- Tong Zhang (ORCID: https://orcid.org/0000-0002-2690-859X)
- Liyi Deng
Institutions
- Xuzhou Medical College (CN)
- Anhui Medical University (CN)
- Second Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-01-29
- DOI
- https://doi.org/10.3389/fneur.2025.1518815
- Citations
- 3
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.88