AIMC Topic: Liver

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A novel microchip electrophoresis-based chemiluminescence immunoassay for the detection of alpha-fetoprotein in human serum.

Talanta Dec 19, 2016
A sensitive immunoassay method based on microchip electrophoresis chemiluminescence (MCE-CL) detection technology was developed for the detection of tumor marker alpha-fetoprotein (AFP). This method adopts the non-competitive immunoassay mode, and wa...
Electrophoresis, Microchip Liver Neoplasms Liver Limit of Detection Immunoassay alpha-Fetoproteins Luminescent Measurements Luminescence Humans Biomarkers, Tumor Case-Control Studies
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Characterization and hepatoprotective activity of anthocyanins from purple sweet potato (Ipomoea batatas L. cultivar Eshu No. 8).

Journal of food and drug analysis Dec 1, 2016
The hepatoprotective activity of anthocyanin-rich purple sweet potato extract (APSPE) was demonstrated. Sixty mice were randomly divided into six groups: control group [without carbon tetrachloride (CCl) or APSPE]; model group (with CCl only); positi...
Liver Animals Mice Anthocyanins Carbon Tetrachloride Ipomoea batatas Plant Extracts
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A methodology for automated CPA extraction using liver biopsy image analysis and machine learning techniques.

Computer methods and programs in biomedicine Nov 29, 2016
BACKGROUND AND OBJECTIVE: Collagen proportional area (CPA) extraction in liver biopsy images provides the degree of fibrosis expansion in liver tissue, which is the most characteristic histological alteration in hepatitis C virus (HCV). Assessment of...
Humans Hepatitis C, Chronic Machine Learning Collagen Liver Automation Biopsy
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Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets.

International journal of computer assisted radiology and surgery Nov 24, 2016
PURPOSE: Multi-organ segmentation from CT images is an essential step for computer-aided diagnosis and surgery planning. However, manual delineation of the organs by radiologists is tedious, time-consuming and poorly reproducible. Therefore, we propo...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans Liver Probability Automation Spleen Imaging, Three-Dimensional Kidney Abdomen
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Integration of metabolomics, lipidomics and clinical data using a machine learning method.

BMC bioinformatics Nov 22, 2016
BACKGROUND: The recent pandemic of obesity and the metabolic syndrome (MetS) has led to the realisation that new drug targets are needed to either reduce obesity or the subsequent pathophysiological consequences associated with excess weight gain. Ce...
Rats, Sprague-Dawley Metabolic Syndrome Metabolomics Liver Obesity Lipid Metabolism Animals Male Rats Humans Machine Learning Databases, Factual Blood Chemical Analysis PPAR alpha PPAR gamma
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Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis.

IEEE transactions on medical imaging Nov 11, 2016
In this paper, we propose a generalization of the level set segmentation approach by supplying a novel method for adaptive estimation of active contour parameters. The presented segmentation method is fully automatic once the lesion has been detected...
Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Liver Neoplasms Image Processing, Computer-Assisted Liver
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Computerized tomography-based anatomic description of the porcine liver.

The Journal of surgical research Nov 9, 2016
BACKGROUND: The knowledge of the anatomic features is imperative for successful modeling of the different surgical situations. This study aims to describe the anatomic features of the porcine using computerized tomography (CT) scan.
Hepatic Artery Hepatic Veins Humans Female Liver Tomography, X-Ray Computed Animals Swine Organ Size Portal Vein
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IFCM Based Segmentation Method for Liver Ultrasound Images.

Journal of medical systems Oct 4, 2016
In this paper we have proposed an iterative Fuzzy C-Mean (IFCM) method which divides the pixels present in the image into a set of clusters. This set of clusters is then used to segment a focal liver lesion from a liver ultrasound image. Advantage of...
Liver Ultrasonography Image Processing, Computer-Assisted Fuzzy Logic Humans
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Evidence-based selection of training compounds for use in the mechanism-based integrated prediction of drug-induced liver injury in man.

Archives of toxicology Sep 22, 2016
The current test systems employed by pharmaceutical industry are poorly predictive for drug-induced liver injury (DILI). The 'MIP-DILI' project addresses this situation by the development of innovative preclinical test systems which are both mechanis...
Hepatobiliary Elimination Drugs, Investigational Mitochondria, Liver Evidence-Based Medicine Adaptive Immunity Chemical and Drug Induced Liver Injury Computational Biology Liver Molecular Structure Lysosomes Models, Biological Expert Systems Animals Severity of Illness Index Oxidative Stress Humans Artificial Intelligence
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Automatic 3D liver location and segmentation via convolutional neural network and graph cut.

International journal of computer assisted radiology and surgery Sep 7, 2016
PURPOSE: Segmentation of the liver from abdominal computed tomography (CT) images is an essential step in some computer-assisted clinical interventions, such as surgery planning for living donor liver transplant, radiotherapy and volume measurement. ...
Databases, Factual Tomography, X-Ray Computed Imaging, Three-Dimensional Abdomen Humans Neural Networks, Computer Algorithms Liver Organ Size
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