Accurate diagnosis and prognosis prediction of gastric cancer using deep learning on digital pathological images: A retrospective multicentre study

Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning

(2021) Xiaodong Wang et al.   Nature Communications

Biomarker-targeted therapies for advanced-stage gastric and gastro-oesophageal junction cancers: an emerging paradigm

(2021) Yoshiaki Nakamura et al.   Nature Reviews Clinical Oncology

Deep learning for prediction of colorectal cancer outcome: a discovery and validation study

(2020) Ole-Johan Skrede et al.   LANCET

Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multi-center study

(2020) D. Dong et al.   ANNALS OF ONCOLOGY

Performance of a computer-aided diagnosis system in diagnosing early gastric cancer using magnifying endoscopy videos with narrow-band imaging (with videos)

(2020) Yusuke Horiuchi et al.   GASTROINTESTINAL ENDOSCOPY

Highly accurate artificial intelligence systems to predict the invasion depth of gastric cancer: efficacy of conventional white-light imaging, nonmagnifying narrow-band imaging, and indigo-carmine dye contrast imaging

(2020) Sayaka Nagao et al.   GASTROINTESTINAL ENDOSCOPY

A deep learning risk prediction model for overall survival in patients with gastric cancer: A multicenter study

(2020) Liwen Zhang et al.   RADIOTHERAPY AND ONCOLOGY

Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning

(2020) Zhigang Song et al.   Nature Communications

Driverless artificial intelligence framework for the identification of malignant pleural effusion

(2020) Yuan Li et al.   Translational Oncology

Cancer statistics, 2019

(2019) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Impact of time from diagnosis to chemotherapy in advanced gastric cancer: A Propensity Score Matching Study to Balance Prognostic Factors

(2019) Tsutomu Nishida et al.   World Journal of Gastrointestinal Oncology

Evaluation of the Eighth Edition of the American Joint Committee on Cancer TNM Staging System for Gastric Cancer: An Analysis of 7371 Patients in the SEER Database

(2019) Long-Long Cao et al.   Gastroenterology Research and Practice

Gastroenterologist-level Identification of Small Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-learning Model

(2019) Zhen Ding et al.   GASTROENTEROLOGY

Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges

(2019) Shigao Huang et al.   CANCER LETTERS

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

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification

(2019) Shujun Wang et al.   MEDICAL IMAGE ANALYSIS

Machine learning classifies cancer

(2018) Derek Wong et al.   NATURE

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data

(2017) Fadhl M. Alakwaa et al.   JOURNAL OF PROTEOME RESEARCH

Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial

(2016) K. Yao et al.   EBioMedicine

Machine Learning in Medicine

(2015) R. C. Deo   CIRCULATION

Adjuvant therapy for gastric cancer: What have we learned since INT0116?

(2015) Alexandre A Jácome   WORLD JOURNAL OF GASTROENTEROLOGY

Gastric cancer: The times they are a-changin’

(2015) Maria Antonietta Satolli   World Journal of Gastrointestinal Oncology

Weakly supervised histopathology cancer image segmentation and classification

(2014) Yan Xu et al.   MEDICAL IMAGE ANALYSIS

Aberrant methylation of microRNA-34b/c is a predictive marker of metachronous gastric cancer risk

(2013) Ryo Suzuki et al.   JOURNAL OF GASTROENTEROLOGY