Gastroenterology

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...

ASO Author Reflections: Formalization of Robotic Central Pancreatectomy Focusing on the Reconstruction of Pancreatic Digestive Continuity.

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 constit...

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 th...

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...

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 cirr...

Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network.

BACKGROUND: Visual inspection, lesion detection, and differentiation between malignant and benign fe...

The future of endoscopy: Advances in endoscopic image innovations.

The latest state of the art technological innovations have led to a palpable progression in endoscop...

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 autom...

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...

Prognostic networks for unraveling the biological mechanisms of Sarcopenia.

Sarcopenia is an age-related multifactorial process that involved several biological mechanisms, who...

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...

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 sour...

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 carc...

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 incid...

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 ca...

Safety of viable embryonated eggs of the whipworm as a novel food pursuant to Regulation (EU) 2015/2283.

Following a request from the European Commission, the EFSA Panel on Nutrition, Novel Foods and Food ...

Performance of deep learning for differentiating pancreatic diseases on contrast-enhanced magnetic resonance imaging: A preliminary study.

PURPOSE: The purpose of this study was to evaluate the ability of deep learning to differentiate pan...

A Concentric Tube Robot System for Rigid Bronchoscopy: A Feasibility Study on Central Airway Obstruction Removal.

New robotic systems have recently emerged to assist with peripheral lung access, but a robotic syste...

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.

We aim at segmenting a wide variety of organs, including tiny targets (e.g., adrenal gland), and neo...

Oncological and anorectal functional outcomes of robot-assisted intersphincteric resection in lower rectal cancer, particularly the extent of sphincter resection and sphincter saving.

BACKGROUND: Few investigations to date assessing the effectiveness of robot-assisted intersphincteri...