Development and Validation of a Deep Neural Network for Accurate Identification of Endoscopic Images From Patients With Ulcerative Colitis and Crohn's Disease

BACKGROUND AND AIM: The identification of ulcerative colitis (UC) and Crohn's disease (CD) is a key element interfering with therapeutic response, but it is often difficult for less experienced endoscopists to identify UC and CD. Therefore, we aimed to develop and validate a deep learning diagn...

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Detalles Bibliográficos
Autores principales: Ruan, Guangcong, Qi, Jing, Cheng, Yi, Liu, Rongbei, Zhang, Bingqiang, Zhi, Min, Chen, Junrong, Xiao, Fang, Shen, Xiaochun, Fan, Ling, Li, Qin, Li, Ning, Qiu, Zhujing, Xiao, Zhifeng, Xu, Fenghua, Lv, Linling, Chen, Minjia, Ying, Senhong, Chen, Lu, Tian, Yuting, Li, Guanhu, Zhang, Zhou, He, Mi, Qiao, Liang, Zhang, Zhu, Chen, Dongfeng, Cao, Qian, Nian, Yongjian, Wei, Yanling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8974241/
https://www.ncbi.nlm.nih.gov/pubmed/35372443
http://dx.doi.org/10.3389/fmed.2022.854677

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8974241/
https://www.ncbi.nlm.nih.gov/pubmed/35372443
http://dx.doi.org/10.3389/fmed.2022.854677

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