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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Detalles Bibliográficos
Autores principales: Shichijo, Satoki, Nomura, Shuhei, Aoyama, Kazuharu, Nishikawa, Yoshitaka, Miura, Motoi, Shinagawa, Takahide, Takiyama, Hirotoshi, Tanimoto, Tetsuya, Ishihara, Soichiro, Matsuo, Keigo, Tada, Tomohiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5704071/
https://www.ncbi.nlm.nih.gov/pubmed/29056541
http://dx.doi.org/10.1016/j.ebiom.2017.10.014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5704071/
https://www.ncbi.nlm.nih.gov/pubmed/29056541
http://dx.doi.org/10.1016/j.ebiom.2017.10.014

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