MDPNet: a dual-path parallel fusion network for multi-modal MRI glioma genotyping
The proposed framework exhibits significant advantages in integrating heterogeneous features from multi-modal MRI data. Experimental results from internal datasets further validate the model's superior generalizability and clinical utility in assisting glioma diagnosis, highlighting its potential for real-world clinical applications.
Authors
- Lijuan Song (ORCID: https://orcid.org/0000-0002-9556-4639)
- Xianhao Huo (ORCID: https://orcid.org/0000-0002-2612-8390)
- Huaizhi Wang (ORCID: https://orcid.org/0000-0001-5458-9154)
- Haichao Liu (ORCID: https://orcid.org/0000-0001-6866-1284)
- Fang Du (ORCID: https://orcid.org/0000-0002-1277-6290)
- Jihui Tian
- Di Wang (ORCID: https://orcid.org/0000-0002-0050-612X)
Institutions
- Ningxia University (CN)
- Ningxia Medical University (CN)
- Ningxia Medical University General Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-05-19
- DOI
- https://doi.org/10.3389/fonc.2025.1574861
- Citations
- 1
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Ningxia Province
- Key Research and Development Program of Ningxia