AIMC Topic: Gastroscopy

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Primary Investigation of Deep Learning Models for Japanese "Group Classification" of Whole-Slide Images of Gastric Endoscopic Biopsy.

Computational and mathematical methods in medicine Sep 26, 2022
BACKGROUND: Accurate pathological diagnosis of gastric endoscopic biopsy could greatly improve the opportunity of early diagnosis and treatment of gastric cancer. The Japanese "Group classification" of gastric biopsy corresponds well with the endosco...
Neural Networks, Computer Deep Learning Biopsy Humans Japan Gastroscopy
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Deep learning as a novel method for endoscopic diagnosis of chronic atrophic gastritis: a prospective nested case-control study.

BMC gastroenterology Jul 25, 2022
BACKGROUND AND AIMS: Chronic atrophic gastritis (CAG) is a precancerous disease that often leads to the development of gastric cancer (GC) and is positively correlated with GC morbidity. However, the sensitivity of the endoscopic diagnosis of CAG is ...
Humans Prospective Studies Deep Learning Stomach Neoplasms Gastroscopy Case-Control Studies Gastritis, Atrophic
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Identification of upper GI diseases during screening gastroscopy using a deep convolutional neural network algorithm.

Gastrointestinal endoscopy Jun 16, 2022
BACKGROUND AND AIMS: The clinical application of GI endoscopy for the diagnosis of multiple diseases using artificial intelligence (AI) has been limited by its high false-positive rates. There is an unmet need to develop a GI endoscopy AI-assisted di...
Humans Gastroscopy Artificial Intelligence Algorithms Neural Networks, Computer Retrospective Studies Gastrointestinal Diseases
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Deep learning for gastroscopic images: computer-aided techniques for clinicians.

Biomedical engineering online Feb 11, 2022
Gastric disease is a major health problem worldwide. Gastroscopy is the main method and the gold standard used to screen and diagnose many gastric diseases. However, several factors, such as the experience and fatigue of endoscopists, limit its perfo...
Gastroscopes Computers Deep Learning Gastroscopy
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Improving the Classification Performance of Esophageal Disease on Small Dataset by Semi-supervised Efficient Contrastive Learning.

Journal of medical systems Nov 22, 2021
The classification of esophageal disease based on gastroscopic images is important in the clinical treatment, and is also helpful in providing patients with follow-up treatment plans and preventing lesion deterioration. In recent years, deep learning...
Humans Supervised Machine Learning Gastroscopy Esophageal Diseases
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Real-time artificial intelligence for detecting focal lesions and diagnosing neoplasms of the stomach by white-light endoscopy (with videos).

Gastrointestinal endoscopy Sep 20, 2021
BACKGROUND AND AIMS: White-light endoscopy (WLE) is the most pivotal tool to detect gastric cancer in an early stage. However, the skill among endoscopists varies greatly. Here, we aim to develop a deep learning-based system named ENDOANGEL-LD (lesio...
Stomach Neoplasms Gastroscopy Humans Prospective Studies Retrospective Studies Artificial Intelligence
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Gastric polyp detection in gastroscopic images using deep neural network.

PloS one Apr 28, 2021
This paper presents the research results of detecting gastric polyps with deep learning object detection method in gastroscopic images. Gastric polyps have various sizes. The difficulty of polyp detection is that small polyps are difficult to detect ...
Intestinal Polyps Stomach Gastroscopy Neural Networks, Computer ROC Curve Humans
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A Prospective Validation and Observer Performance Study of a Deep Learning Algorithm for Pathologic Diagnosis of Gastric Tumors in Endoscopic Biopsies.

Clinical cancer research : an official journal of the American Association for Cancer Research Nov 10, 2020
PURPOSE: Gastric cancer remains the leading cause of cancer-related deaths in Northeast Asia. Population-based endoscopic screenings in the region have yielded successful results in early detection of gastric tumors. Endoscopic screening rates are co...
Humans Aged, 80 and over Adult Image Interpretation, Computer-Assisted Female Sensitivity and Specificity Prospective Studies Biopsy Gastric Mucosa Observer Variation Aged Male Retrospective Studies Feasibility Studies Stomach Neoplasms Gastroscopy Middle Aged Pathologists Deep Learning
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Application of Computed Tomography Imaging in Diagnosis of Endocrine Nerve of Gastric Cancer and Nursing Intervention Effect.

World neurosurgery Oct 10, 2020
In this article, some parameters and characteristics of computed tomography (CT) images in patients with gastric cancer are analyzed and the application of CT images in the diagnosis of gastric cancer endocrine nerves and the impact of nursing interv...
Neural Networks, Computer Adult Humans Tomography, X-Ray Computed Stomach Neoplasms Image Processing, Computer-Assisted Female Male Gastroscopy Aged Middle Aged Case-Control Studies
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A deep learning-based system for identifying differentiation status and delineating the margins of early gastric cancer in magnifying narrow-band imaging endoscopy.

Endoscopy Sep 29, 2020
BACKGROUND : Accurate identification of the differentiation status and margins for early gastric cancer (EGC) is critical for determining the surgical strategy and achieving curative resection in EGC patients. The aim of this study was to develop a r...
Gastroscopy Narrow Band Imaging Stomach Neoplasms Humans Deep Learning Retrospective Studies
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