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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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| Gepubliceerd in: | Clin Transl Gastroenterol |
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| Hoofdauteurs: | , , , , , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Wolters Kluwer
2019
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| Onderwerpen: | |
| Online toegang: | 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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