AIMC Topic: Gastroscopy

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A deep learning method for delineating early gastric cancer resection margin under chromoendoscopy and white light endoscopy.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association Apr 30, 2020
BACKGROUND: Accurate delineation of cancer margins is critical for endoscopic curative resection. This study aimed to train and validate real-time fully convolutional networks for delineating the resection margin of early gastric cancer (EGC) under i...
Humans Prognosis Stomach Neoplasms Margins of Excision Endoscopic Mucosal Resection Narrow Band Imaging Indigo Carmine Deep Learning Early Detection of Cancer Gastroscopy
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Diagnosing chronic atrophic gastritis by gastroscopy using artificial intelligence.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Feb 13, 2020
BACKGROUND: The sensitivity of endoscopy in diagnosing chronic atrophic gastritis is only 42%, and multipoint biopsy, despite being more accurate, is not always available.
Gastritis, Atrophic China Image Processing, Computer-Assisted Gastroscopy Female Stomach Neoplasms Humans Aged Sensitivity and Specificity Neural Networks, Computer Male Adult Artificial Intelligence Middle Aged
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Artificial intelligence in endoscopy: the guardian angel is around the corner.

Gastrointestinal endoscopy Jan 22, 2020
Gastroscopy Artificial Intelligence Prospective Studies Single-Blind Method
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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...
Female Stomach Neoplasms Sensitivity and Specificity Male Humans Neural Networks, Computer Retrospective Studies False Positive Reactions Gastroscopy Narrow Band Imaging Radiographic Magnification Early Detection of Cancer Diagnosis, Differential Gastritis
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Comparing blind spots of unsedated ultrafine, sedated, and unsedated conventional gastroscopy with and without artificial intelligence: a prospective, single-blind, 3-parallel-group, randomized, single-center trial.

Gastrointestinal endoscopy Sep 18, 2019
BACKGROUND AND AIMS: EGD is the most vital procedure for the diagnosis of upper GI lesions. We aimed to compare the performance of unsedated ultrathin transoral endoscopy (U-TOE), unsedated conventional EGD (C-EGD), and sedated C-EGD with or without ...
Image Processing, Computer-Assisted Single-Blind Method Gastroscopy Pain, Procedural Endoscopy, Digestive System Conscious Sedation Gastroscopes Prospective Studies Adult Female Male Aged Humans Middle Aged Artificial Intelligence Anxiety
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Deep-learning based detection of gastric precancerous conditions.

Gut Aug 2, 2019
Humans Algorithms Female Gastroscopy Chronic Disease Stomach Neoplasms Aged Gastritis, Atrophic Image Interpretation, Computer-Assisted Male Aged, 80 and over Precancerous Conditions Middle Aged Adult Deep Learning
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[French comment on article A deep neural network improves endoscopic detection of early gastric cancer without blind spots].

Endoscopy May 28, 2019
Neural Networks, Computer Stomach Neoplasms Diagnosis, Computer-Assisted Gastroscopy Humans
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Real-time gastric polyp detection using convolutional neural networks.

PloS one Mar 25, 2019
Computer-aided polyp detection in gastric gastroscopy has been the subject of research over the past few decades. However, despite significant advances, automatic polyp detection in real time is still an unsolved problem. In this paper, we report on ...
Humans Adenomatous Polyps Male Neural Networks, Computer Image Processing, Computer-Assisted Female Gastroscopy Stomach Neoplasms
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A deep neural network improves endoscopic detection of early gastric cancer without blind spots.

Endoscopy Mar 12, 2019
BACKGROUND: Gastric cancer is the third most lethal malignancy worldwide. A novel deep convolution neural network (DCNN) to perform visual tasks has been recently developed. The aim of this study was to build a system using the DCNN to detect early g...
Diagnosis, Differential Observer Variation Gastroscopy Sensitivity and Specificity Clinical Competence Humans Early Detection of Cancer Neural Networks, Computer Stomach Neoplasms
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Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy.

Gastrointestinal endoscopy Nov 16, 2018
BACKGROUND AND AIMS: According to guidelines, endoscopic resection should only be performed for patients whose early gastric cancer invasion depth is within the mucosa or submucosa of the stomach regardless of lymph node involvement. The accurate pre...
Diagnosis, Computer-Assisted Gastric Mucosa Female Humans Endoscopic Mucosal Resection Neoplasm Invasiveness ROC Curve Neural Networks, Computer Stomach Neoplasms Image Processing, Computer-Assisted Serous Membrane Carcinoma Artificial Intelligence Sensitivity and Specificity Gastrectomy Male Gastroscopy
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