Deep learning-based automated detection of endometrioid endometrial carcinoma in histopathology
This multi-task deep learning system provides stable and efficient support for automated EEC identification and effectively classifies endometrial pathological and physiological states, demonstrating strong potential for clinical translation.
Authors
- Xueying Yang (ORCID: https://orcid.org/0000-0001-6788-0688)
- Shegan Gao
- Kunyu Zou
- Yaping Liu
- Ruotong Li
- Qihang Ma
- Wenbin Huang
- Xiaohui Wang
Institutions
- Henan University of Science and Technology (CN)
- First Affiliated Hospital of Henan University of Science and Technology (CN)
- Henan Cancer Hospital (CN)
- Beijing Information Science & Technology University (CN)
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-01-12
- DOI
- https://doi.org/10.3389/fonc.2025.1701427
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00