Deep learning models for cervical cancer subtyping using whole slide images
This study demonstrates the potential of using AI models for cervical cancer subtyping, with strong generalization across multiple datasets and clinical settings.
Authors
- Haiyan Yan (ORCID: https://orcid.org/0009-0000-8780-2601)
- Xiaoping Shen (ORCID: https://orcid.org/0000-0003-0366-6433)
- Tao Pan (ORCID: https://orcid.org/0000-0001-9369-7094)
- Mei Wang (ORCID: https://orcid.org/0000-0002-7991-8468)
- Lei Jin (ORCID: https://orcid.org/0009-0001-7200-6319)
- Yulan Zhang (ORCID: https://orcid.org/0000-0001-5554-7909)
Institutions
- Shanghai University of Medicine and Health Sciences (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-12-04
- DOI
- https://doi.org/10.3389/fonc.2025.1574639
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00