AIMC Topic: Stomach Neoplasms

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Deep-learning based detection of gastric precancerous conditions.

Gut Aug 2, 2019
Aged, 80 and over Adult Stomach Neoplasms Male Algorithms Female Aged Image Interpretation, Computer-Assisted Precancerous Conditions Gastroscopy Gastritis, Atrophic Middle Aged Deep Learning Chronic Disease Humans
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A histopathologic feature of the behavior of gastric signet-ring cell carcinoma; an image analysis study with deep learning.

Pathology international Jul 5, 2019
Humans Stomach Neoplasms Middle Aged Immunohistochemistry Deep Learning Carcinoma, Signet Ring Cell
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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
Humans Stomach Neoplasms Neural Networks, Computer Diagnosis, Computer-Assisted Gastroscopy
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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 ...
Image Processing, Computer-Assisted Gastroscopy Adenomatous Polyps Humans Female Neural Networks, Computer Stomach Neoplasms Male
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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...
Humans Clinical Competence Early Detection of Cancer Diagnosis, Differential Observer Variation Neural Networks, Computer Stomach Neoplasms Sensitivity and Specificity Gastroscopy
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Spotting malignancies from gastric endoscopic images using deep learning.

Surgical endoscopy Feb 4, 2019
BACKGROUND: Gastric cancer is a common kind of malignancies, with yearly occurrences exceeding one million worldwide in 2017. Typically, ulcerous and cancerous tissues develop abnormal morphologies through courses of progression. Endoscopy is a routi...
Early Detection of Cancer Endoscopy, Gastrointestinal Peptic Ulcer Stomach Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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An Intelligent Clinical Decision Support System for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer.

Journal of the American College of Radiology : JACR Feb 4, 2019
PURPOSE: The aim of this study was to develop and validate a computational clinical decision support system (DSS) on the basis of CT radiomics features for the prediction of lymph node (LN) metastasis in gastric cancer (GC) using machine learning-bas...
Predictive Value of Tests Neoplasm Staging Gastrectomy Multidetector Computed Tomography Preoperative Care Lymph Nodes Lymphatic Metastasis Neoplasm Invasiveness Middle Aged ROC Curve Decision Support Systems, Clinical Prognosis Retrospective Studies Humans Clinical Decision-Making Machine Learning Stomach Neoplasms Databases, Factual Female Male Aged
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Diagnosis of early gastric cancer based on fluorescence hyperspectral imaging technology combined with partial-least-square discriminant analysis and support vector machine.

Journal of biophotonics Jan 28, 2019
This study investigated the feasibility of using fluorescence hyperspectral imaging technology to diagnose of early-stage gastric cancer. Fluorescence spectral images of 76 patients who were pathologically diagnosed as non-atrophic gastritis, premali...
Humans Female Stomach Neoplasms Support Vector Machine Early Detection of Cancer Male Optical Imaging Middle Aged Least-Squares Analysis Discriminant Analysis Feasibility Studies
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Application of data mining methods to improve screening for the risk of early gastric cancer.

BMC medical informatics and decision making Dec 7, 2018
BACKGROUND: Although gastric cancer is a malignancy with high morbidity and mortality in China, the survival rate of patients with early gastric cancer (EGC) is high after surgical resection. To strengthen diagnosing and screening is the key to impro...
Humans Neural Networks, Computer Stomach Neoplasms Early Detection of Cancer Risk Assessment Data Mining China Logistic Models
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Effects of ω-3 supplementation on the nutritional status, immune, and inflammatory profiles of gastric cancer patients: A randomized controlled trial.

Nutrition (Burbank, Los Angeles County, Calif.) Nov 24, 2018
OBJECTIVE: The aim of this study was to study the effect of ω-3 supplementation on the nutritional status and the immune and inflammatory profiles of patients with gastric cancer during antineoplastic pretreatment.
Food, Formulated Nutritional Status Male Weight Gain Middle Aged Humans Aged Fatty Acids, Omega-3 C-Reactive Protein Longitudinal Studies Treatment Outcome Interleukin-6 Anthropometry Dietary Supplements Adult Female Stomach Neoplasms
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