AIMC Topic: Gastritis

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Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-training.

Medical & biological engineering & computing Mar 27, 2020
High-quality annotations for medical images are always costly and scarce. Many applications of deep learning in the field of medical image analysis face the problem of insufficient annotated data. In this paper, we present a semi-supervised learning ...
Chronic Disease Radiography Gastritis Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Supervised Machine Learning Humans Neural Networks, Computer Databases, Factual
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Deep learning in gastric tissue diseases: a systematic review.

BMJ open gastroenterology Mar 26, 2020
BACKGROUND: In recent years, deep learning has gained remarkable attention in medical image analysis due to its capacity to provide results comparable to specialists and, in some cases, surpass them. Despite the emergence of deep learning research on...
Radiography Radiology Gastritis Humans Reproducibility of Results Deep Learning
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Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging.

Digestive diseases and sciences Oct 4, 2019
BACKGROUND: Early detection of early gastric cancer (EGC) allows for less invasive cancer treatment. However, differentiating EGC from gastritis remains challenging. Although magnifying endoscopy with narrow band imaging (ME-NBI) is useful for differ...
Narrow Band Imaging Radiographic Magnification Humans Male Female Early Detection of Cancer Neural Networks, Computer Stomach Neoplasms Diagnosis, Differential Gastritis Retrospective Studies Sensitivity and Specificity False Positive Reactions Gastroscopy
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A Deep Learning Convolutional Neural Network Can Recognize Common Patterns of Injury in Gastric Pathology.

Archives of pathology & laboratory medicine Jun 27, 2019
CONTEXT.—: Most deep learning (DL) studies have focused on neoplastic pathology, with the realm of inflammatory pathology remaining largely untouched.
Helicobacter Infections Helicobacter pylori Gastritis Stomach Stomach Diseases Humans Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning Biopsy Reproducibility of Results Sensitivity and Specificity
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Application of convolutional neural networks for evaluating Helicobacter pylori infection status on the basis of endoscopic images.

Scandinavian journal of gastroenterology Mar 17, 2019
BACKGROUND AND AIM: We recently reported the role of artificial intelligence in the diagnosis of Helicobacter pylori (H. pylori) gastritis on the basis of endoscopic images. However, that study included only H. pylori-positive and -negative patients,...
Neural Networks, Computer Image Processing, Computer-Assisted Japan Humans Helicobacter Infections Endoscopy, Gastrointestinal Helicobacter pylori Gastritis
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Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography.

Journal of gastroenterology Oct 3, 2018
BACKGROUND: Deep learning has become a new trend of image recognition tasks in the field of medicine. We developed an automated gastritis detection system using double-contrast upper gastrointestinal barium X-ray radiography.
Male Retrospective Studies Barium Humans Radiography Middle Aged Neural Networks, Computer Gastritis Deep Learning Female False Negative Reactions Sensitivity and Specificity
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Deep learning model for automated detection of Helicobacter pylori and intestinal metaplasia on gastric biopsy digital whole slide images.

American journal of clinical pathology Nov 19, 2025
OBJECTIVE: To develop an automated detection tool for Helicobacter pylori (HP) microorganisms (HPOrg) and intestinal metaplasia (IM) identification on gastric biopsy specimens on hematoxylin and eosin (H&E) whole-slide images (WSIs), incorporating ba...
Humans Deep Learning Biopsy Image Interpretation, Computer-Assisted Stomach Helicobacter Infections Metaplasia Helicobacter pylori Gastritis
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A Deep Learning Convolutional Neural Network Can Differentiate Between Helicobacter Pylori Gastritis and Autoimmune Gastritis With Results Comparable to Gastrointestinal Pathologists.

Archives of pathology & laboratory medicine Jan 1, 2022
CONTEXT.—: Pathology studies using convolutional neural networks (CNNs) have focused on neoplasms, while studies in inflammatory pathology are rare. We previously demonstrated a CNN that differentiates reactive gastropathy, Helicobacter pylori gastri...
Gastritis Pathologists Gastric Mucosa Humans Neural Networks, Computer Deep Learning Helicobacter pylori
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[A novel attention fusion network-based multiple instance learning framework to automate diagnosis of chronic gastritis with multiple indicators].

Zhonghua bing li xue za zhi = Chinese journal of pathology Oct 8, 2021
To explore the performance of the attention-multiple instance learning (MIL) framework, an attention fusion network-based MIL, in the automated diagnosis of chronic gastritis with multiple indicators. A total of 1 015 biopsy cases of gastritis diag...
Attention Metaplasia Humans Artificial Intelligence China Gastritis
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Histopathological Diagnosis System for Gastritis Using Deep Learning Algorithm.

Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih Sep 30, 2021
Objective To develope a deep learning algorithm for pathological classification of chronic gastritis and assess its performance using whole-slide images (WSIs). Methods We retrospectively collected 1,250 gastric biopsy specimens (1,128 gastritis, 122...
Retrospective Studies Deep Learning ROC Curve Humans Algorithms Gastritis
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