Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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

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 during the automatic diagnosis process. The multi-instance learning based on the most discriminative instances can be of great benefit for whole slide g...

Aug 30 2019 31499320

Early Esophageal Cancer: A Gastroenterologist's Disease.

Traditionally, early esophageal cancer (i.e., cancer limited to the mucosa or superficial submucosa) was managed surgically; the gastroenterologist's role was primarily to diagnose the tumor. Over the last decade, advances in endoscopic imaging, ablation, and resection techniques have resulted in a paradigm shift-diagnosis, staging, treatment, and surveillance are within the endoscopist's domain. ...

Aug 30 2019 31471859
CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.

It is well known that the unusual expression of long non-coding RNAs (lncRNAs) is closely related to the physiological and pathological processes of d...

Aug 30 2019 31480319
OrgaQuant: Human Intestinal Organoid Localization and Quantification Using Deep Convolutional Neural Networks.

Organoid cultures are proving to be powerful in vitro models that closely mimic the cellular constituents of their native tissue. Organoids are typica...

Aug 28 2019 31462669
Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency.

The neural computational model GrowthEstimate is introduced with focusing on new perspectives for the practical estimation of weight specific growth r...

Aug 28 2019 31461459
Prediction of future gastric cancer risk using a machine learning algorithm and comprehensive medical check-up data: A case-control study.

A comprehensive screening method using machine learning and many factors (biological characteristics, Helicobacter pylori infection status, endoscopic...

Aug 27 2019 31455831
Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules.

PURPOSE: To enhance clinician's decision-making by diagnosing hepatocellular carcinoma (HCC) in cirrhotic patients with indeterminate liver nodules us...

Aug 23 2019 31444598
Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network.

BACKGROUND: Visual inspection, lesion detection, and differentiation between malignant and benign features are key aspects of an endoscopist's role. T...

Aug 23 2019 31443108
The future of endoscopy: Advances in endoscopic image innovations.

The latest state of the art technological innovations have led to a palpable progression in endoscopic imaging and may facilitate standardisation of p...

Aug 22 2019 31286574
Real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinoma using a deep learning model (with videos).

BACKGROUND AND AIMS: We developed a system for computer-assisted diagnosis (CAD) for real-time automated diagnosis of precancerous lesions and early e...

Aug 21 2019 31445040
Learning to detect lymphocytes in immunohistochemistry with deep learning.

The immune system is of critical importance in the development of cancer. The evasion of destruction by the immune system is one of the emerging hallm...

Aug 21 2019 31476576
Prognostic networks for unraveling the biological mechanisms of Sarcopenia.

Sarcopenia is an age-related multifactorial process that involved several biological mechanisms, whose specific contribution and interplay is still un...

Aug 21 2019 31445068
Precision Surgical Therapy for Adenocarcinoma of the Esophagus and Esophagogastric Junction.

INTRODUCTION: To facilitate the initial clinical decision regarding whether to use esophagectomy alone or neoadjuvant therapy in surgical care for ind...

Aug 20 2019 31442498
Correlation between synthesis of α-macroglobulin as acute phase protein and degree of hepatopathy in rats.

The degree of hepatopathy affecting the synthesis of α-macroglobulin (α2M) as an acute phase protein in rats was investigated. Hepatopathy was induced...

Aug 17 2019 32257902
An improved fuzzy-differential evolution approach applied to classification of tumors in liver CT scan images.

Fuzzy inference systems have been frequently used in medical diagnosis for managing uncertainty sources in the medical images. In addition, fuzzy syst...

Aug 15 2019 31418157
Classification and Segmentation of Hyperspectral Data of Hepatocellular Carcinoma Samples Using 1-D Convolutional Neural Network.

Pathological diagnosis plays an important role in the diagnosis and treatment of hepatocellular carcinoma (HCC). The traditional method of pathologica...

Aug 12 2019 31403260
Challenges Facing the Detection of Colonic Polyps: What Can Deep Learning Do?

Colorectal cancer (CRC) is one of the most common causes of cancer mortality in the world. The incidence is related to increases with age and western ...

Aug 12 2019 31409050
Gene Ontology and Expression Studies of Strigolactone Analogues on a Hepatocellular Carcinoma Cell Line.

Human hepatocellular carcinoma (HCC) is the most common and recurrent type of primary adult liver cancer without any effective therapy. Plant-derived ...

Aug 4 2019 31482051
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