AI-Based Identification Method for Cervical Transformation Zone Within Digital Colposcopy: Development and Multicenter Validation Study
Our proposed AI-based identification system classified the type of cervical TZs and delineated their location on multicenter, colposcopic, high-resolution images. The findings of this study have shown its potential to predict TZ types and specific regions accurately. It was developed as a valuable assistant to encourage precise colposcopic examination in clinical practice.
Authors
- You‐Lin Qiao (ORCID: https://orcid.org/0000-0001-6380-0871)
- Peng Xue (ORCID: https://orcid.org/0000-0003-3002-8146)
- Tong Wu (ORCID: https://orcid.org/0009-0005-4471-2186)
- Yuting Wang (ORCID: https://orcid.org/0000-0003-3894-4536)
- Xiaoli Cui
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Liaoning Cancer Hospital & Institute (CN)
- China Medical University (CN)
Publication Details
- Journal
- JMIR Cancer
- Published
- 2025-03-31
- DOI
- https://doi.org/10.2196/69672
- Citations
- 2
- Primary Topic
- Cervical Cancer and HPV Research
- Type
- article
- Field-Weighted Citation Impact
- 2.71