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Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images
BACKGROUND AND AIMS: The role of artificial intelligence in the diagnosis of Helicobacter pylori gastritis based on endoscopic images has not been evaluated. We constructed a convolutional neural network (CNN), and evaluated its ability to diagnose H. pylori infection. METHODS: A 22-layer, deep CNN...
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| Published in: | EBioMedicine |
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| Main Authors: | , , , , , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Elsevier
2017
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5704071/ https://ncbi.nlm.nih.gov/pubmed/29056541 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ebiom.2017.10.014 |
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