Earlier detection of occult peritoneal metastasis by Pro_Segment in gastric cancer employing augmented deep learning techniques in big data with medical IoT (MIoT)

Imaging in Gastric Cancer: Current Practice and Future Perspectives

(2023) Teresa Giandola et al.   Diagnostics

Development and Validation of an Automatic Image-Recognition Endoscopic Report Generation System: A Multicenter Study

(2021) Jun-yan Qu et al.   Clinical and Translational Gastroenterology

Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning

(2021) Yuming Jiang et al.   JAMA Network Open

Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images

(2021) Seyedehnafiseh Mirniaharikandehei et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A pilot trial of Convolution Neural Network for automatic retention-monitoring of capsule endoscopes in the stomach and duodenal bulb

(2020) Tao Gan et al.   Scientific Reports

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

Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application

(2020) Nikolaos Papandrianos et al.   PLoS One

Prediction of immune checkpoint inhibition with immune oncology-related gene expression in gastrointestinal cancer using a machine learning classifier

(2020) Zhihao Lu et al.   Journal for ImmunoTherapy of Cancer

Identifying early gastric cancer under magnifying narrow-band images with deep learning: a multicenter study

(2020) Hao Hu et al.   GASTROINTESTINAL ENDOSCOPY

The Argos project: The development of a computer-aided detection system to improve detection of Barrett's neoplasia on white light endoscopy

(2019) Jeroen de Groof et al.   United European Gastroenterology Journal

Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer

(2019) D Dong et al.   ANNALS OF ONCOLOGY

The neutrophil/lymphocyte ratio as a predictor of peritoneal metastasis during staging laparoscopy for advanced gastric cancer: a retrospective cohort analysis

(2019) Naohiko Nakamura et al.   World Journal of Surgical Oncology

Radiomics analysis using contrast-enhanced CT for preoperative prediction of occult peritoneal metastasis in advanced gastric cancer

(2019) Shunli Liu et al.   EUROPEAN RADIOLOGY

Advanced Endoscopic Navigation: Surgical Big Data, Methodology, and Applications

(2018) Xiongbiao Luo et al.   Annual Review of Biomedical Engineering

Could texture features from preoperative CT image be used for predicting occult peritoneal carcinomatosis in patients with advanced gastric cancer?

(2018) Hae Young Kim et al.   PLoS One

High-Grade Serous Ovarian Cancer: Use of Machine Learning to Predict Abdominopelvic Recurrence on CT on the Basis of Serial Cancer Antigen 125 Levels

(2018) Atul B. Shinagare et al.   Journal of the American College of Radiology

Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review

(2018) Jose Bernal et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Gastric Cancer Etiology and Management in Asia and the West

(2018) Ashley E. Russo et al.   Annual Review of Medicine

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

(2018) Yuichi Mori et al.   Digestive Endoscopy

Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients

(2018) Amirhessam Tahmassebi et al.   INVESTIGATIVE RADIOLOGY

Treatment of localized gastric and gastroesophageal adenocarcinoma: the role of accurate staging and preoperative therapy

(2017) Brian Badgwell et al.   Journal of Hematology & Oncology

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multimodality Therapy of Localized Gastric Adenocarcinoma

(2016) Brian Badgwell   Journal of the National Comprehensive Cancer Network

Evaluation and treatment of malignant ascites secondary to gastric cancer

(2015) Hiromichi Maeda   WORLD JOURNAL OF GASTROENTEROLOGY

Signatures of tumour immunity distinguish Asian and non-Asian gastric adenocarcinomas

(2014) Suling J Lin et al.   GUT