Artificial intelligence-assisted diagnosis of rectal neuroendocrine tumors during white-light endoscopy
Our model, which was based on YOLOv7, could effectively detect rNET lesions, which was better than that of most endoscopists.
Authors
- Quansheng Guan
- Lin Qiu
- Su-Zuan Chen
- Shunhui He
- Jie Dai (ORCID: https://orcid.org/0000-0002-0873-6333)
- Zhenyu Wang (ORCID: https://orcid.org/0000-0002-2284-4760)
- Zhijian Li (ORCID: https://orcid.org/0000-0003-3318-5817)
- Rui-Ya Zhang
- Lizhi Yi
- Fang Xie
- Ke Liu
- Chun-Xiao Lai
- Hui Yang
- Zhi-Fang Zhao
- Xi-Gang Zhang
- Yu Lin
- Xian-Fei Zhong
- Feng Li
- Gui-Ming Liu
- Meng-Nan Zhang
- Wen Wu
- Li-Ming Cheng
- Yang Bai
Institutions
- Nanfang Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- World Journal of Gastroenterology
- Published
- 2025-12-26
- DOI
- https://doi.org/10.3748/wjg.v31.i48.112683
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00