Development and validation of a deep learning-based approach to predict the Mayo endoscopic score of ulcerative colitis

Development and validation of a deep learning-based approach to predict the Mayo endoscopic score of ulcerative colitis

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....

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Bibliografiska uppgifter
Huvudupphovsmän: 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
Materialtyp: Artikel
Språk:English
Publicerad: SAGE Publishing 2023-05-01
Serie:Therapeutic Advances in Gastroenterology
Länkar:https://doi.org/10.1177/17562848231170945

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https://doi.org/10.1177/17562848231170945

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