Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms
This study represents the first application of an ML algorithm techniques to the endoscopic classification of serrated polyps. The lesion size, mucus cap and lesion location are key features for the endoscopic diagnosis of SSL.
Authors
- Xinying Yu (ORCID: https://orcid.org/0000-0001-8891-6723)
- Lianyu Li (ORCID: https://orcid.org/0009-0008-9797-3306)
- Qiang He (ORCID: https://orcid.org/0000-0002-5007-5225)
Institutions
- Capital Medical University (CN)
- Beijing Tian Tan Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-10-15
- DOI
- https://doi.org/10.3389/fmed.2025.1665079
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00