AIMC Topic: Liver

Clear Filters Showing 371 to 380 of 590 articles

Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network.

Scientific reports Apr 10, 2020
Segmentation of normal organs is a critical and time-consuming process in radiotherapy. Auto-segmentation of abdominal organs has been made possible by the advent of the convolutional neural network. We utilized the U-Net, a 3D-patch-based convolutio...
Aged, 80 and over Adult Male Middle Aged Tomography, X-Ray Computed Neural Networks, Computer Female Algorithms Aged Humans Duodenum Liver Neoplasms Abdomen Imaging, Three-Dimensional Liver Kidney Stomach
View on PubMed DOI

Dense gate network for biomedical image segmentation.

International journal of computer assisted radiology and surgery Apr 8, 2020
PURPOSE: Deep learning has recently shown its outstanding performance in biomedical image semantic segmentation. Most biomedical semantic segmentation frameworks comprise the encoder-decoder architecture directly fusing features of the encoder and th...
Databases, Factual Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Liver
View on PubMed DOI

Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology.

European radiology Apr 8, 2020
OBJECTIVES: To compare the diagnostic accuracy of texture analysis (TA)-derived parameters combined with machine learning (ML) of non-contrast-enhanced T1w and T2w fat-saturated (fs) images with MR elastography (MRE) for liver fibrosis quantification...
Prospective Studies Female Male Middle Aged Humans Machine Learning Liver ROC Curve Biopsy Liver Cirrhosis Elasticity Imaging Techniques Magnetic Resonance Imaging
View on PubMed DOI

A novel microwave tool for robotic liver resection in minimally invasive surgery.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy Apr 7, 2020
INTRODUCTION: During the last two decades, many surgical procedures have evolved from open surgery to minimally invasive surgery (MIS). This limited invasiveness has motivated the development of robotic assistance platforms to obtain better surgical ...
Robotics Minimally Invasive Surgical Procedures Liver Robotic Surgical Procedures Microwaves
View on PubMed DOI

Deeply self-supervised contour embedded neural network applied to liver segmentation.

Computer methods and programs in biomedicine Mar 15, 2020
OBJECTIVE: Herein, a neural network-based liver segmentation algorithm is proposed, and its performance was evaluated using abdominal computed tomography (CT) images.
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Liver Supervised Machine Learning Humans
View on PubMed DOI

Assessment of liver fibrosis severity using computed tomography-based liver and spleen volumetric indices in patients with chronic liver disease.

European radiology Feb 13, 2020
OBJECTIVES: To evaluate whether the liver and spleen volumetric indices, measured on portal venous phase CT images, could be used to assess liver fibrosis severity in chronic liver disease.
Liver Diseases Spleen Liver Chronic Disease Retrospective Studies Male Organ Size Tomography, X-Ray Computed Middle Aged ROC Curve Case-Control Studies Female Severity of Illness Index Deep Learning Liver Cirrhosis Adult Humans
View on PubMed DOI

Image Based Liver Toxicity Prediction.

Journal of chemical information and modeling Feb 7, 2020
The drugs we use to cure our diseases can cause damage to the liver as it is the primary organ responsible for metabolism of environmental chemicals and drugs. To identify and eliminate potentially problematic drug candidates in the early stages of d...
Drug Discovery Liver Neural Networks, Computer Algorithms
View on PubMed DOI

Robotic fluidic coupling and interrogation of multiple vascularized organ chips.

Nature biomedical engineering Jan 27, 2020
Organ chips can recapitulate organ-level (patho)physiology, yet pharmacokinetic and pharmacodynamic analyses require multi-organ systems linked by vascular perfusion. Here, we describe an 'interrogator' that employs liquid-handling robotics, custom s...
Liver Lung Cell Culture Techniques Humans Brain Microfluidics Skin Kidney Lab-On-A-Chip Devices Robotics Blood-Brain Barrier Calibration Heart Equipment Design Intestines
View on PubMed DOI

Hepatotoxicity Modeling Using Counter-Propagation Artificial Neural Networks: Handling an Imbalanced Classification Problem.

Molecules (Basel, Switzerland) Jan 23, 2020
Drug-induced liver injury is a major concern in the drug development process. Expensive and time-consuming and studies do not reflect the complexity of the phenomenon. Complementary to wet lab methods are approaches, which present a cost-efficient...
Algorithms Computer Simulation Liver Drug-Related Side Effects and Adverse Reactions Databases, Chemical Databases, Pharmaceutical Quantitative Structure-Activity Relationship Chemical and Drug Induced Liver Injury Neural Networks, Computer
View on PubMed DOI

Transfer learning radiomics based on multimodal ultrasound imaging for staging liver fibrosis.

European radiology Jan 21, 2020
OBJECTIVES: To propose a transfer learning (TL) radiomics model that efficiently combines the information from gray scale and elastogram ultrasound images for accurate liver fibrosis grading.
Male Middle Aged ROC Curve Area Under Curve Hepatitis B, Chronic Liver Cirrhosis Liver Female Aged Adult Algorithms Biomarkers Retrospective Studies Humans Neural Networks, Computer Data Accuracy Machine Learning Elasticity Imaging Techniques
View on PubMed DOI
Popular Topics
Recent Journals