Automated detection of metastatic lymph nodes in head and neck malignant tumors on high − resolution MRI images using an improved convolutional neural network
The LNMS Net model enhances diagnostic accuracy and efficiency for head and neck malignant tumors, supporting precise treatment planning and reducing overtreatment risks. It also offers a foundation for extending AI-based lymph node metastasis diagnosis to other clinical areas.
Authors
- Yue Wu (ORCID: https://orcid.org/0000-0002-4507-9782)
- Jiawen Xue (ORCID: https://orcid.org/0009-0004-0706-8435)
- Xianghai Yu
- Chaohong Ma (ORCID: https://orcid.org/0009-0001-6168-4771)
- Cheng Li (ORCID: https://orcid.org/0000-0001-5400-2093)
- Zhongwei Zhou (ORCID: https://orcid.org/0000-0002-3472-1282)
- Gang Zhao (ORCID: https://orcid.org/0000-0002-7679-8683)
- Jingjing Mao
Institutions
- Ningxia Medical University (CN)
- Ningxia Medical University General Hospital (CN)
- The Fourth People's Hospital of Ningxia Hui Autonomous Region (CN)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.105904
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Natural Science Foundation of Ningxia Province
- Key Research and Development Program of Ningxia