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

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 the detection process of H. pylori on histological specimens, using novel technologies, such as deep learning.

Methods

We designed a deep-learning-based decision support algorithm that can be applied on regular whole slide images of gastric biopsies. In detail, we can detect H. pylori both on Giemsa- and regular H&E stained whole slide images.

Results

With the help of our decisi

SUBMITTER: Klein S 

PROVIDER: S-EPMC7731757 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature