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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Lijia Wang, Liping Chen, Xianyuan Wang, Kaiyuan Liu, Ting Li, Yue Yu, Jian Han, Shuai Xing, Jiaxin Xu, Dean Tian, Ursula Seidler, Fang Xiao
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Frontiers Media S.A. 2022-04-01
Sarja:Frontiers in Medicine
Aiheet:
inflammatory bowel disease
Crohn’s disease
ulcerative colitis
artificial intelligence
deep learning
convolutional neural network
Linkit:https://www.frontiersin.org/articles/10.3389/fmed.2022.789862/full

Internet

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

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