Thyroid nodule and lymph node metastasis assessment from ultrasound images using deep learning
The AI-based ultrasound imaging diagnostic model showed excellent performance in differentiating BTN, NMTN, and MMTN, supporting its value as a diagnostic tool for the clinical decision-making process.
Authors
- Huiying Xiao
- Xianquan Shi (ORCID: https://orcid.org/0000-0002-7424-0360)
- Dakai Jin (ORCID: https://orcid.org/0000-0002-4806-2943)
- Xiaohui Zhao (ORCID: https://orcid.org/0000-0001-6641-7990)
- Yanrong Wei
- Xiaoguang Yang (ORCID: https://orcid.org/0000-0002-5941-9899)
- Jian Liu (ORCID: https://orcid.org/0000-0002-5076-6421)
- Yu Zhang (ORCID: https://orcid.org/0000-0002-5848-8892)
- Gang Zhang (ORCID: https://orcid.org/0000-0002-6730-045X)
- Dongfang Yang
- Xueqin Shen (ORCID: https://orcid.org/0000-0002-4877-0982)
- Yang Liu (ORCID: https://orcid.org/0009-0005-8443-9444)
Institutions
- Beijing Institute of Technology (CN)
- Capital Medical University (CN)
- Chinese PLA General Hospital (CN)
- Beijing Friendship Hospital (CN)
- Hohhot First Hospital (CN)
- Inner Mongolia Medical University (CN)
- Guilin University of Electronic Technology (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-11-03
- DOI
- https://doi.org/10.3389/fnins.2025.1684104
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00