Qingyuan Li, Weijie Xie, Yusi Wang, Kaiwen Qin, Mei Huang, Tianbao Liu, Zefeiyun Chen, Lu Chen, Lan Teng, Yuxin Fang, Liuhua Ye, Zhenyu Chen, Jie Zhang, Aimin Li, Wei Yang, Side Liu
BACKGROUND: Gastric structure recognition systems have become increasingly necessary for the accurate diagnosis of gastric lesions in capsule endoscopy. Deep learning, especially using transformer models, has shown great potential in the recognition of gastrointestinal (GI) images according to self-attention. This study aims to establish an identification model of capsule endoscopy gastric structures to improve the clinical applicability of deep learning to endoscopic image recognition...
March 4, 2024: Journal of Clinical Gastroenterology