This paper presents a method for extracting effective image features from double contrast X-ray images of stomach to discriminate Helicobacter pylori ...
Experimental results obtained by applying the proposed method to the X-ray images have shown effectiveness of the proposed features.
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May 1, 2017 · A fully automatic method for detection of H. pylori infection from gastric X-ray images is presented in this paper.
This paper presents a method for extracting effective image features from double contrast X-ray images of stomach to discriminate Helicobacter pylori ...
May 1, 2017 · We newly propose a method for detection of H. pylori infection based on the combined use of feature fusion and decision fusion.
Missing: Discriminating | Show results with:Discriminating
This paper presents the performance improvement of Helicobacter pylori (H. pylori) infection detection using Kernel Local Fisher Discriminant Analysis ...
Abstract—This paper presents the performance improvement of Helicobacter pylori (H. pylori) infection detection using Kernel. Local Fisher Discriminant ...
Features for Discriminating Normal Cases in Mass Screening for Gastric Cancer with Double Contrast X-ray Images of Stomach · Medicine · 2014.
Feb 8, 2024 · Recently, AI-based techniques have been used for detecting and classifying H. pylori in stomach biopsies, using deep learning (DL) algorithms ...
The accuracy of X-ray examination differs depending on the symptom of H. pylori infection that is focused on and the position from which X-ray images are taken.