Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images | Zendy

Satoki Shichijo | Zendy; Shuhei Nomura | Zendy; Kazuharu Aoyama | Zendy; Yoshitaka Nishikawa | Zendy; Motoi Miura | Zendy; Takahide Shinagawa | Zendy; Hirotoshi Takiyama | Zendy; Tetsuya Tanimoto | Zendy; Soichiro Ishihara | Zendy; Keigo Matsuo | Zendy; Tomohiro Tada | Zendy

Open Access

Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images

Author(s) -

Satoki Shichijo,

Shuhei Nomura,

Kazuharu Aoyama,

Yoshitaka Nishikawa,

Motoi Miura,

Takahide Shinagawa,

Hirotoshi Takiyama,

Tetsuya Tanimoto,

Soichiro Ishihara,

Keigo Matsuo,

Tomohiro Tada

Publication year - 2017

Publication title -

ebiomedicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.596

H-Index - 63

ISSN - 2352-3964

DOI - 10.1016/j.ebiom.2017.10.014

Subject(s) - convolutional neural network , helicobacter pylori , artificial intelligence , medicine , gastritis , helicobacter pylori infection , gastroenterology , diagnostic accuracy , pattern recognition (psychology) , computer science

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.

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