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....

ver descrição completa

Detalhes bibliográficos
Principais autores: 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
Formato: Artigo
Idioma:English
Publicado em: SAGE Publishing 2023-05-01
coleção:Therapeutic Advances in Gastroenterology
Acesso em linha:https://doi.org/10.1177/17562848231170945

Internet

https://doi.org/10.1177/17562848231170945

Registros relacionados