Lan Li, Liping Yang, Bingling Zhang, Guofei Yan, Yaqing Bao, Renke Zhu, Shengjie Li, Huogen Wang, Ming Chen, Chaohui Jin, Yishu Chen, Chaohui Yu
BACKGROUND: In order to overcome the challenges of lesion detection in capsule endoscopy (CE), we improved the YOLOv5-based deep learning algorithm and established the CE-YOLOv5 algorithm to identify small bowel lesions captured by CE. METHODS: A total of 124,678 typical abnormal images from 1,452 patients were enrolled to train the CE-YOLOv5 model. Then 298 patients with suspected small bowel lesions detected by CE were prospectively enrolled in the testing phase of the study...
April 4, 2024: Clinics and Research in Hepatology and Gastroenterology