mpMRI‐based MGMT methylation status prediction for glioblastoma through off‐the‐shelf deep features: A multi‐dataset feasibility study
The results demonstrate that our method outperforms existing approaches on a single-CPU platform. Ablation studies confirmed the effectiveness of incorporating delta T1 deep features, while external validation confirmed the method's reliability across different datasets.
Authors
- Zhanghong Wang (ORCID: https://orcid.org/0000-0002-0334-033X)
- Junhua Chen (ORCID: https://orcid.org/0000-0002-7688-6851)
- Banghua Yang (ORCID: https://orcid.org/0000-0002-8561-5631)
Institutions
- Shanghai University (CN)
- Shanghai Mental Health Center (CN)
- Wenzhou Hospital of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2025-11-23
- DOI
- https://doi.org/10.1002/acm2.70373
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China