AIMC Topic: Stomach Neoplasms

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Diagnosing chronic atrophic gastritis by gastroscopy using artificial intelligence.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Feb 13, 2020
BACKGROUND: The sensitivity of endoscopy in diagnosing chronic atrophic gastritis is only 42%, and multipoint biopsy, despite being more accurate, is not always available.
Gastroscopy Gastritis, Atrophic Male Middle Aged China Image Processing, Computer-Assisted Humans Neural Networks, Computer Artificial Intelligence Female Aged Adult Stomach Neoplasms Sensitivity and Specificity
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Computational analysis of morphological and molecular features in gastric cancer tissues.

Cancer medicine Feb 3, 2020
Biological morphologies of cells and tissues represent their physiological and pathological conditions. The importance of quantitative assessment of morphological information has been highly recognized in clinical diagnosis and therapeutic strategies...
Humans Machine Learning Stomach Neoplasms Immunohistochemistry Cell Membrane Stomach Repressor Proteins Tissue Array Analysis Biomarkers, Tumor Image Processing, Computer-Assisted B7-H1 Antigen Feasibility Studies
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Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.

European radiology Jan 17, 2020
OBJECTIVES: To build a dual-energy CT (DECT)-based deep learning radiomics nomogram for lymph node metastasis (LNM) prediction in gastric cancer.
Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Prognosis Neoplasm Staging Adult Deep Learning Stomach Neoplasms Lymph Nodes Male Nomograms Middle Aged Adenocarcinoma Lymphatic Metastasis
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A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients.

International journal of molecular sciences Dec 12, 2019
Heterogeneity in intratumoral cancers leads to discrepancies in drug responsiveness, due to diverse genomics profiles. Thus, prediction of drug responsiveness is critical in precision medicine. So far, in drug responsiveness prediction, drugs' molecu...
Cell Line, Tumor ROC Curve Computational Biology Dose-Response Relationship, Drug Cell Survival Stomach Neoplasms Drug Discovery Antineoplastic Agents Deep Learning Models, Biological Inhibitory Concentration 50 Humans Neural Networks, Computer Artificial Intelligence
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A 21‑gene Support Vector Machine classifier and a 10‑gene risk score system constructed for patients with gastric cancer.

Molecular medicine reports Nov 21, 2019
Gastric cancer (GC) ranks fifth in terms of incidence and third in terms of tumor mortality worldwide. The present study was designed to construct a Support Vector Machine (SVM) classifier and risk score system for GC. The GSE62254 (training set) and...
Humans Angiopoietin-like Proteins Gene Expression Regulation, Neoplastic Cytokines A Kinase Anchor Proteins Membrane Proteins Angiopoietin-Like Protein 1 Stomach Neoplasms Support Vector Machine Prognosis Databases, Genetic Male Carrier Proteins Female Middle Aged Nerve Tissue Proteins Risk Factors Gene Expression Profiling Neoplasm Recurrence, Local Aged Gene Regulatory Networks Tumor Suppressor Proteins Kaplan-Meier Estimate
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A gastric cancer LncRNAs model for MSI and survival prediction based on support vector machine.

BMC genomics Nov 13, 2019
BACKGROUND: Recent studies have shown that long non-coding RNAs (lncRNAs) play a crucial role in the induction of cancer through epigenetic regulation, transcriptional regulation, post-transcriptional regulation and other aspects, thus participating ...
Adenocarcinoma Support Vector Machine RNA, Long Noncoding Microsatellite Instability Disease-Free Survival Kaplan-Meier Estimate Prognosis Humans Stomach Neoplasms Cohort Studies Models, Genetic
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Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging.

Digestive diseases and sciences Oct 4, 2019
BACKGROUND: Early detection of early gastric cancer (EGC) allows for less invasive cancer treatment. However, differentiating EGC from gastritis remains challenging. Although magnifying endoscopy with narrow band imaging (ME-NBI) is useful for differ...
Early Detection of Cancer Diagnosis, Differential Gastritis False Positive Reactions Gastroscopy Narrow Band Imaging Radiographic Magnification Female Stomach Neoplasms Sensitivity and Specificity Male Humans Neural Networks, Computer Retrospective Studies
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RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification.

Medical image analysis Aug 30, 2019
The whole slide histopathology images (WSIs) play a critical role in gastric cancer diagnosis. However, due to the large scale of WSIs and various sizes of the abnormal area, how to select informative regions and analyze them are quite challenging du...
Humans Diagnosis, Differential Stomach Neoplasms Datasets as Topic Deep Learning Calibration Staining and Labeling
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Prediction of future gastric cancer risk using a machine learning algorithm and comprehensive medical check-up data: A case-control study.

Scientific reports Aug 27, 2019
A comprehensive screening method using machine learning and many factors (biological characteristics, Helicobacter pylori infection status, endoscopic findings and blood test results), accumulated daily as data in hospitals, could improve the accurac...
Bayes Theorem ROC Curve Machine Learning Humans Adult Endoscopy, Gastrointestinal Logistic Models Female Stomach Neoplasms Longitudinal Studies Risk Factors Male Area Under Curve Aged Middle Aged Case-Control Studies
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Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network.

Endoscopy Aug 23, 2019
BACKGROUND: Visual inspection, lesion detection, and differentiation between malignant and benign features are key aspects of an endoscopist's role. The use of machine learning for the recognition and differentiation of images has been increasingly a...
Humans Neoplasm Grading Neural Networks, Computer Databases, Factual ROC Curve Reproducibility of Results Image Processing, Computer-Assisted Stomach Neoplasms Early Detection of Cancer Endoscopy Diagnosis, Differential Deep Learning Neoplasm Staging
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