Development of a Convolutional Neural Network-Based Colonoscopy Image Assessment Model for Differentiating Crohn’s Disease and Ulcerative Colitis

OBJECTIVE: Evaluation of the endoscopic features of Crohn’s disease (CD) and ulcerative colitis (UC) is the key diagnostic approach in distinguishing these two diseases. However, making diagnostic differentiation of endoscopic images requires precise interpretation by experienced clinicians, which r...

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Detalles Bibliográficos
Autores principales: Wang, Lijia, Chen, Liping, Wang, Xianyuan, Liu, Kaiyuan, Li, Ting, Yu, Yue, Han, Jian, Xing, Shuai, Xu, Jiaxin, Tian, Dean, Seidler, Ursula, Xiao, Fang
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/PMC9024394/
https://www.ncbi.nlm.nih.gov/pubmed/35463023
http://dx.doi.org/10.3389/fmed.2022.789862

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024394/
https://www.ncbi.nlm.nih.gov/pubmed/35463023
http://dx.doi.org/10.3389/fmed.2022.789862

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