Evaluation of a novel ensemble model for preoperative ovarian cancer diagnosis: Clinical factors, O-RADS, and deep learning radiomics
The ensemble model significantly enhances preoperative ovarian cancer diagnosis accuracy and improves sonographers' diagnostic capabilities and consistency.
Authors
- Lifang Fan (ORCID: https://orcid.org/0000-0002-3996-497X)
- Pingyang Zhang (ORCID: https://orcid.org/0000-0001-9767-0550)
- Junli Wang (ORCID: https://orcid.org/0000-0001-6862-1944)
- Jing Yin (ORCID: https://orcid.org/0000-0002-6626-0046)
- Jiale Li (ORCID: https://orcid.org/0000-0001-8213-4755)
- Weiwei Yin
- Yimin Wu
- Haixin Shao (ORCID: https://orcid.org/0009-0005-5684-3060)
- Weiyu Zhu
Institutions
- Wannan Medical College (CN)
- Anhui Medical University (CN)
- Wuhu Fourth People Hospital (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Translational Oncology
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1016/j.tranon.2025.102335
- Citations
- 4
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.79