Rapid diagnosis of Helicobacter pylori infection status based on endoscopic features and deep learning algorithms
This study applies a 1D-transformer model to the task of classifying HP infection status, and compared with other models, it can precisely screen out populations with three different HP infection statuses, with higher performance and reliability.
Authors
- Xinfeng Yu
- Lei Li (ORCID: https://orcid.org/0000-0001-8723-3461)
- Qiang He
Institutions
- Capital Medical University (CN)
- Beijing Tian Tan Hospital (CN)
- Huazhong University of Science and Technology Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2026-02-04
- DOI
- https://doi.org/10.3389/fpubh.2026.1765267
- Primary Topic
- Helicobacter pylori-related gastroenterology studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00