Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off‐the‐shelf features: A dual‐dataset study
Overall, our proposed model not only outperforms existing counterparts for HPV status prediction but is also computationally accessible for use on a single-CPU platform, which reduces resource requirements and enhances clinical usability.
Authors
- Lijun Chen (ORCID: https://orcid.org/0000-0001-6694-4299)
- Junhua Chen (ORCID: https://orcid.org/0000-0002-7688-6851)
- Banghua Yang (ORCID: https://orcid.org/0000-0002-8561-5631)
- Yanyan Cheng
Institutions
- Shanghai University (CN)
- The Fourth People's Hospital (CN)
- Shandong Provincial Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2025-03-02
- DOI
- https://doi.org/10.1002/acm2.70061
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00