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GASTRIC CANCER (2020)
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LinJie Guo et al.
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Alanna Ebigbo et al.
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Pedro Guimaraes et al.
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Yusuke Horiuchi et al.
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Albert J. de Groof et al.
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Masayasu Ohmori et al.
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Role of gastrointestinal endoscopy in the screening of digestive tract cancers in Europe: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement
Adrian Saftoiu et al.
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Deep learning algorithm detection of Barrett's neoplasia with high accuracy during live endoscopic procedures: a pilot study
Albert J. de Groof et al.
GASTROINTESTINAL ENDOSCOPY (2020)
Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett's esophagus (with video)
Rintaro Hashimoto et al.
GASTROINTESTINAL ENDOSCOPY (2020)
Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma
Yoshitaka Tokai et al.
ESOPHAGUS (2020)
Global Burden of 5 Major Types of Gastrointestinal Cancer
Melina Arnold et al.
GASTROENTEROLOGY (2020)
Performance of a computer-aided diagnosis system in diagnosing early gastric cancer using magnifying endoscopy videos with narrow-band imaging (with videos)
Yusuke Horiuchi et al.
GASTROINTESTINAL ENDOSCOPY (2020)
Comparison of performances of artificial intelligence versus expert endoscopists for real-time assisted diagnosis esophageal sauamous cell carcinoma (with video)
Hiromu Fukuda et al.
GASTROINTESTINAL ENDOSCOPY (2020)
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension
Xiaoxuan Liu et al.
BMJ-BRITISH MEDICAL JOURNAL (2020)
Characteristics and consequences of missed gastric cancer: A multicentric cohort study
Nerea Hernanz et al.
DIGESTIVE AND LIVER DISEASE (2019)
Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy
Lianlian Wu et al.
GUT (2019)
Early esophageal adenocarcinoma detection using deep learning methods
Noha Ghatwary et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2019)
The Argos project: The development of a computer-aided detection system to improve detection of Barrett's neoplasia on white light endoscopy
Jeroen de Groof et al.
UNITED EUROPEAN GASTROENTEROLOGY JOURNAL (2019)
A deep neural network improves endoscopic detection of early gastric cancer without blind spots
Lianlian Wu et al.
ENDOSCOPY (2019)
Classification for invasion depth of esophageal squamous cell carcinoma using a deep neural network compared with experienced endoscopists
Kentaro Nakagawa et al.
GASTROINTESTINAL ENDOSCOPY (2019)
Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video)
Shi-Lun Cai et al.
GASTROINTESTINAL ENDOSCOPY (2019)
Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network
Bum-Joo Cho et al.
ENDOSCOPY (2019)
A Lesion-Based Convolutional Neural Network Improves Endoscopic Detection and Depth Prediction of Early Gastric Cancer
Hong Jin Yoon et al.
JOURNAL OF CLINICAL MEDICINE (2019)
Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline - Update 2019
Raf Bisschops et al.
ENDOSCOPY (2019)
Artificial intelligence and upper gastrointestinal endoscopy: Current status and future perspective
Yuichi Mori et al.
DIGESTIVE ENDOSCOPY (2019)
Detecting gastric cancer from video images using convolutional neural networks
Mitsuaki Ishioka et al.
DIGESTIVE ENDOSCOPY (2019)
Computer-assisted diagnosis of early esophageal squamous cell carcinoma using narrow-band imaging magnifying endoscopy
Yuan-Yuan Zhao et al.
ENDOSCOPY (2019)
An Interactive Web-Based Educational Tool Improves Detection and Delineation of Barrett's Esophagus-Related Neoplasia
Jacques J. G. H. M. Bergman et al.
GASTROENTEROLOGY (2019)
Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks
Yoshimasa Horie et al.
GASTROINTESTINAL ENDOSCOPY (2019)
Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy
Yan Zhu et al.
GASTROINTESTINAL ENDOSCOPY (2019)
Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma
Alanna Ebigbo et al.
GUT (2019)
Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study
Huiyan Luo et al.
LANCET ONCOLOGY (2019)
Rate of missed oesophageal cancer at routine endoscopy and survival outcomes: A multicentric cohort study
Enrique Rodriguez de Santiago et al.
UNITED EUROPEAN GASTROENTEROLOGY JOURNAL (2019)
Artificial intelligence for the real-time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A proof-of-concept study
M. Everson et al.
UNITED EUROPEAN GASTROENTEROLOGY JOURNAL (2019)
Endoscopic screening for gastric cancer: A cost-utility analysis for countries with an intermediate gastric cancer risk
Miguel Areia et al.
UNITED EUROPEAN GASTROENTEROLOGY JOURNAL (2018)
Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
Toshiaki Hirasawa et al.
GASTRIC CANCER (2018)
Endoscopic Screening in Asian Countries Is Associated With Reduced Gastric Cancer Mortality: A Meta-analysis and Systematic Review
Xing Zhang et al.
GASTROENTEROLOGY (2018)
Computer-aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow-band imaging
Takashi Kanesaka et al.
GASTROINTESTINAL ENDOSCOPY (2018)
Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks
Hirotoshi Takiyama et al.
SCIENTIFIC REPORTS (2018)
Assessing variability in results in systematic reviews of diagnostic studies
Christiana A. Naaktgeboren et al.
BMC MEDICAL RESEARCH METHODOLOGY (2016)
Computer-aided detection of early neoplastic lesions in Barrett's esophagus
Fons van der Sommen et al.
ENDOSCOPY (2016)
A multicenter prospective study of the real-time use of narrow-band imaging in the diagnosis of premalignant gastric conditions and lesions
Pedro Pimentel-Nunes et al.
ENDOSCOPY (2016)
Missing rate for gastric cancer during upper gastrointestinal endoscopy: a systematic review and meta-analysis
Ana Rita Pimenta-Melo et al.
EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY (2016)
Cost-Utility Analysis of Endoscopic Surveillance of Patients with Gastric Premalignant Conditions
Miguel Areia et al.
HELICOBACTER (2014)
Supportive automatic annotation of early esophageal cancer using local gabor and color features
F. van der Sommen et al.
NEUROCOMPUTING (2014)
How commonly is upper gastrointestinal cancer missed at endoscopy? A meta-analysis
Shyam Menon et al.
ENDOSCOPY INTERNATIONAL OPEN (2014)
Screening for Gastric Cancer and Surveillance of Premalignant Lesions: a Systematic Review of Cost-Effectiveness Studies
Miguel Areia et al.
HELICOBACTER (2013)
Quantitative identification of mucosal gastric cancer under magnifying endoscopy with flexible spectral imaging color enhancement
Rie Miyaki et al.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY (2013)
Systematic review of the diagnosis of gastric premalignant conditions and neoplasia with high-resolution endoscopic technologies
Ilze Kikuste et al.
SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY (2013)
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
David Moher et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2009)