Image detection method for multi-category lesions in wireless capsule endoscopy based on deep learning models
The deep learning-based object detection network detects multiple digestive tract lesions in WCE images with high accuracy, improving the diagnostic efficiency of doctors, and demonstrating significant clinical application value.
Authors
- Xianqing Chen
- Wenhui Liang (ORCID: https://orcid.org/0009-0007-9922-3798)
- Wenxin Dai (ORCID: https://orcid.org/0000-0002-7857-6072)
- Xinyuan Li (ORCID: https://orcid.org/0000-0002-6746-8367)
- Zhonghua Xiao (ORCID: https://orcid.org/0009-0001-6911-3682)
- Dong Zhang (ORCID: https://orcid.org/0000-0002-7329-6370)
Institutions
- Changchun University of Science and Technology (CN)
- Beijing Institute of Technology (CN)
- Beijing Electronic Science and Technology Institute (CN)
- Changchun University (CN)
Publication Details
- Journal
- World Journal of Gastroenterology
- Published
- 2024-11-29
- DOI
- https://doi.org/10.3748/wjg.v30.i48.5111
- Citations
- 6
- Primary Topic
- Gastrointestinal Bleeding Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.78