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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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