TensorFlow-based MobileNetV2 U-Net tumor segmentation and multiparametric MRI radiomics for predicting cervical lymph node metastasis in oral tongue squamous cell carcinoma
Our TensorFlow-based MobileNetV2 U-Net provides clinicians with an automated tool to delineate OTSCC tumors and predict cervical lymph node metastasis, potentially aiding personalized surgical planning.
Authors
- Ke Zhang (ORCID: https://orcid.org/0009-0002-9053-4278)
- Bingmei Chen
- Na Zhang
- Jie Feng
- Qiangqiang Gang
Institutions
- Chinese Academy of Sciences (CN)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- Nanfang Hospital (CN)
- Zhujiang Hospital (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Therapeutic Advances in Medical Oncology
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1177/17588359261421325
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00