EndoClean: A Hybrid Deep Learning Framework for Automated Full-Video Boston Bowel Preparation Scale Assessment
EndoClean represents a robust solution in automated quality control, demonstrating performance comparable to senior experts in bowel preparation assessment. By significantly reducing the variability seen in junior endoscopists and providing objective, full-video BBPS scoring, this framework offers a viable, standardized, and efficient solution for clinical practice and large-scale quality monitoring.
Authors
- Peiyao Fu
- S. Wang
- Siyuan Li (ORCID: https://orcid.org/0000-0002-2354-4233)
- Quanlin Li (ORCID: https://orcid.org/0000-0002-3876-0617)
- Ping-Hong Zhou
- Zhen Zhang
- Yan Zhu
Institutions
- Shanghai Medical College of Fudan University (CN)
- Fudan University (CN)
- Zhongshan Hospital (CN)
- Imperial College London (GB)
Publication Details
- Journal
- Bioengineering
- Published
- 2026-03-02
- DOI
- https://doi.org/10.3390/bioengineering13030294
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00