Deep learning model can improve the diagnosis rate of endoscopic chronic atrophic gastritis: a prospective cohort study

Diagnosing chronic atrophic gastritis by gastroscopy using artificial intelligence

(2020) Yaqiong Zhang et al.   DIGESTIVE AND LIVER DISEASE

Dense gate network for biomedical image segmentation

(2020) Dongsheng Li et al.   International Journal of Computer Assisted Radiology and Surgery

Management of epithelial precancerous conditions and lesions in the stomach (MAPS II): European Society of Gastrointestinal Endoscopy (ESGE), European Helicobacter and Microbiota Study Group (EHMSG), European Society of Pathology (ESP), and Sociedade Portuguesa de Endoscopia Digestiva (SPED) guideline update 2019

(2019) Pedro Pimentel-Nunes et al.   ENDOSCOPY

A single vial is enough in the absence of endoscopic suspected intestinal metaplasia – less is more!

(2019) Rui Castro et al.   SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY

Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging

(2019) Lan Li et al.   Gastric Cancer

British Society of Gastroenterology guidelines on the diagnosis and management of patients at risk of gastric adenocarcinoma

(2019) Matthew Banks et al.   GUT

Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging

(2019) Peng Tang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep-learning based detection of gastric precancerous conditions

(2019) Pedro Guimarães et al.   GUT

Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging

(2019) Yusuke Horiuchi et al.   DIGESTIVE DISEASES AND SCIENCES

Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study

(2019) Huiyan Luo et al.   LANCET ONCOLOGY

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

(2019) Nabil Ibtehaz et al.   NEURAL NETWORKS

Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images

(2018) Toshiaki Hirasawa et al.   Gastric Cancer

The significance of OLGA and OLGIM staging systems in the risk assessment of gastric cancer: a systematic review and meta-analysis

(2018) Hu Yue et al.   Gastric Cancer

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Artificial intelligence and upper gastrointestinal endoscopy: current status and future perspective

(2018) Yuichi Mori et al.   Digestive Endoscopy

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Gastric precancerous diseases classification using CNN with a concise model

(2017) Xu Zhang et al.   PLoS One

Kyoto global consensus report onHelicobacter pylorigastritis

(2015) Kentaro Sugano et al.   GUT

Prevalence of gastric precancerous conditions

(2014) Luís Marques-Silva et al.   EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY