Health AI Central
Peer-Reviewed Publication
BMC Gastroenterol2020;20(1):417.December 11, 2020Journal Article

Deep learning for sensitive detection of Helicobacter Pylori in gastric biopsies.

Sebastian Klein1,2, Jacob Gildenblat3, Michaele Angelika Ihle4, Sabine Merkelbach-Bruse4, Ka-Won Noh4, Martin Peifer5, Alexander Quaas4, Reinhard Büttner6
1Else-Kröner-Forschungskolleg, Clonal Evolution in Cancer, University Hospital Cologne, Cologne, Germany. Sebastian.Klein@uk-koeln.de.
2Institute for Pathology, University Hospital Cologne, Cologne, Germany. Sebastian.Klein@uk-koeln.de.
3DeePathology.ai, Raanana, Israel.
4Institute for Pathology, University Hospital Cologne, Cologne, Germany.
5Department of Translational Genomics, Center of Integrated Oncology Cologne-Bonn, Medical Faculty, University of Cologne, 50931, Cologne, Germany.
6Institute for Pathology, University Hospital Cologne, Cologne, Germany. Reinhard.Buettner@uk-koeln.de.
PubMed PMC DOI PDF

Abstract

BACKGROUND: Helicobacter pylori, a 2 × 1 μm spiral-shaped bacterium, is the most common risk factor for gastric cancer worldwide. Clinically, patients presenting with symptoms of gastritis, routinely undergo gastric biopsies. The following histo-morphological evaluation dictates therapeutic decisions, where antibiotics are used for H. pylori eradication. There is a strong rational to accelerate th…

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