Multicenter Study of Multimodal MRI Radiomics and Deep Learning-Based Segmentation for Predicting Local Recurrence of Nasopharyngeal Carcinoma
= 0.145), supporting the feasibility of future end-to-end deployment. Fusing multimodal features yielded numerical improvements over single-sequence models in external validation, providing a basis for post-treatment surveillance planning.
Authors
- Biaoyou Chen
- Anzhou Tang (ORCID: https://orcid.org/0000-0001-6852-7317)
- Dongfang Yao
- Yongjing Lai
- Xiang Bin
- Jingyu Li
Institutions
- Guangxi Medical University (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
- Tumor Hospital of Guangxi Medical University (CN)
Publication Details
- Journal
- Cancers
- Published
- 2026-04-16
- DOI
- https://doi.org/10.3390/cancers18081265
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guangxi Medical University