A study on the diagnosis of the Helicobacter pylori coccoid form with artificial intelligence technology.

ABSTRACT:

Background

Helicobacter pylori (H. pylori) is an important pathogenic microorganism that causes gastric cancer, peptic ulcers and dyspepsia, and infects more than half of the world's population. Eradicating H. pylori is the most effective means to prevent and treat these diseases. H. pylori coccoid form (HPCF) causes refractory H. pylori infection and should be given more attention in infection management. However, manual HPCF recognition on slides is time-consuming and labor-intensive and depends on experienced pathologists; thus, HPCF diagnosis is rarely performed and often overlooked. Therefore, simple HPCF diagnostic methods need to be developed.

Materials and methods

We manually labeled 4,547 images from anonymized paraffin-embedded samples i

SUBMITTER: Zhong Z 

PROVIDER: S-EPMC9651970 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature