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

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

ObjectiveEvaluation 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 rem...

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Autori principali: Lijia Wang, Liping Chen, Xianyuan Wang, Kaiyuan Liu, Ting Li, Yue Yu, Jian Han, Shuai Xing, Jiaxin Xu, Dean Tian, Ursula Seidler, Fang Xiao
Natura: Articolo
Lingua:English
Pubblicazione: Frontiers Media S.A. 2022-04-01
Serie:Frontiers in Medicine
Soggetti:
inflammatory bowel disease
Crohn’s disease
ulcerative colitis
artificial intelligence
deep learning
convolutional neural network
Accesso online:https://www.frontiersin.org/articles/10.3389/fmed.2022.789862/full

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https://www.frontiersin.org/articles/10.3389/fmed.2022.789862/full

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