High Accuracy of Convolutional Neural Network for Evaluation of Helicobacter pylori Infection Based on Endoscopic Images: Preliminary Experience

OBJECTIVES: Application of artificial intelligence in gastrointestinal endoscopy is increasing. The aim of the study was to examine the accuracy of convolutional neural network (CNN) using endoscopic images for evaluating Helicobacter pylori (H. pylori) infection. METHODS: Patients who received uppe...

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Detalles Bibliográficos
Autores principales: Zheng, Wenfang, Zhang, Xu, Kim, John J., Zhu, Xinjian, Ye, Guoliang, Ye, Bin, Wang, Jianping, Luo, Songlin, Li, Jingjing, Yu, Tao, Liu, Jiquan, Hu, Weiling, Si, Jianmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6970551/
https://www.ncbi.nlm.nih.gov/pubmed/31833862
http://dx.doi.org/10.14309/ctg.0000000000000109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6970551/
https://www.ncbi.nlm.nih.gov/pubmed/31833862
http://dx.doi.org/10.14309/ctg.0000000000000109

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