Jing Qi, Guangcong Ruan, Yi Ping, Zhifeng Xiao, Kaijun Liu, Yi Cheng, Rongbei Liu, Bingqiang Zhang, Min Zhi, Junrong Chen, Fang Xiao, Tingting Zhao, Jiaxing Li, Zhou Zhang, Yuxin Zou, Qian Cao, Yongjian Nian, Yanling Wei
BACKGROUND: The ulcerative colitis (UC) Mayo endoscopy score is a useful tool for evaluating the severity of UC in patients in clinical practice. OBJECTIVES: We aimed to develop and validate a deep learning-based approach to automatically predict the Mayo endoscopic score using UC endoscopic images. DESIGN: A multicenter, diagnostic retrospective study. METHODS: We collected 15120 colonoscopy images of 768 UC patients from two hospitals in China and developed a deep model based on a vision transformer named the UC-former...
2023: Therapeutic Advances in Gastroenterology