Classification of pediatric video capsule endoscopy images for small bowel abnormalities using deep learning models
Our deep learning-based diagnostic tool developed in this study effectively classified lesions in pediatric VCE images, contributing to more accurate diagnoses and increased diagnostic efficiency.
Authors
- Yi‐Hsuan Huang (ORCID: https://orcid.org/0000-0001-8436-2508)
- Yan Lu (ORCID: https://orcid.org/0000-0001-6938-9315)
- Jia-Ling Wei
- Xin-yan Jin (ORCID: https://orcid.org/0000-0001-7367-5592)
- Chih-Yi Chou (ORCID: https://orcid.org/0009-0004-7644-4940)
- Jiao Xing
- Qian Lin (ORCID: https://orcid.org/0009-0001-8894-1854)
- Hongmei Guo (ORCID: https://orcid.org/0000-0003-4082-7363)
- Zhifeng Liu (ORCID: https://orcid.org/0000-0001-6273-1667)
Institutions
- National Taiwan University (TW)
Publication Details
- Journal
- World Journal of Gastroenterology
- Published
- 2025-06-06
- DOI
- https://doi.org/10.3748/wjg.v31.i21.107601
- Citations
- 1
- Primary Topic
- Gastrointestinal Bleeding Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.81