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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Veröffentlicht in:Clin Transl Gastroenterol
Hauptverfasser: 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
Format: Artigo
Sprache:Inglês
Veröffentlicht: Wolters Kluwer 2019
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6970551/
https://ncbi.nlm.nih.gov/pubmed/31833862
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.14309/ctg.0000000000000109
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