AIMC Topic: Liver

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Liver Fat Assessment in Multiview Sonography Using Transfer Learning With Convolutional Neural Networks.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Mar 10, 2021
OBJECTIVES: To develop and evaluate deep learning models devised for liver fat assessment based on ultrasound (US) images acquired from four different liver views: transverse plane (hepatic veins at the confluence with the inferior vena cava, right p...
Liver Humans Neural Networks, Computer Machine Learning
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A new rapid diagnostic system with ambient mass spectrometry and machine learning for colorectal liver metastasis.

BMC cancer Mar 10, 2021
BACKGROUND: Probe electrospray ionization-mass spectrometry (PESI-MS) can rapidly visualize mass spectra of small, surgically obtained tissue samples, and is a promising novel diagnostic tool when combined with machine learning which discriminates ma...
Retrospective Studies Female Aged Aged, 80 and over Humans Machine Learning Prospective Studies ROC Curve Liver Neoplasms Liver Chromatography, High Pressure Liquid Adult Colorectal Neoplasms Male Middle Aged Spectrometry, Mass, Electrospray Ionization
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Micro-morphological feature visualization, auto-classification, and evolution quantitative analysis of tumors by using SR-PCT.

Cancer medicine Mar 7, 2021
Tissue micro-morphological abnormalities and interrelated quantitative data can provide immediate evidences for tumorigenesis and metastasis in microenvironment. However, the multiscale three-dimensional nondestructive pathological visualization, mea...
Microvessels Intestinal Neoplasms Neovascularization, Pathologic Machine Learning Liver Neoplasms Tomography, X-Ray Computed Humans Specimen Handling Stomach Neoplasms X-Ray Microtomography Liver Neural Networks, Computer Tumor Microenvironment Synchrotrons Principal Component Analysis Area Under Curve
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Drug properties and host factors contribute to biochemical presentation of drug-induced liver injury: a prediction model from a machine learning approach.

Archives of toxicology Mar 5, 2021
Drug-induced liver injury (DILI) presentation varies biochemically and histologically. Certain drugs present quite consistent injury patterns, i.e., DILI signatures. In contrast, others are manifested as broader types of liver injury. The variety of ...
Databases, Factual Pharmaceutical Preparations Prospective Studies Chemical and Drug Induced Liver Injury Risk Factors Humans Liver Machine Learning
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Automatic liver segmentation using 3D convolutional neural networks with a hybrid loss function.

Medical physics Mar 4, 2021
PURPOSE: Automatic liver segmentation from abdominal computed tomography (CT) images is a fundamental task in computer-assisted liver surgery programs. Many liver segmentation algorithms are very sensitive to fuzzy boundaries and heterogeneous pathol...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Abdomen Liver Neural Networks, Computer Algorithms
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Fast and precise single-cell data analysis using a hierarchical autoencoder.

Nature communications Feb 15, 2021
A primary challenge in single-cell RNA sequencing (scRNA-seq) studies comes from the massive amount of data and the excess noise level. To address this challenge, we introduce an analysis framework, named single-cell Decomposition using Hierarchical ...
Humans Neural Networks, Computer Animals Lung Cell Separation Single-Cell Analysis Mouse Embryonic Stem Cells Mice Visual Cortex Sequence Analysis, RNA Cerebellum Liver Embryo, Mammalian Pancreas Unsupervised Machine Learning Zygote Bayes Theorem Benchmarking Retina
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Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.

IEEE transactions on neural networks and learning systems Feb 4, 2021
A common shortfall of supervised deep learning for medical imaging is the lack of labeled data, which is often expensive and time consuming to collect. This article presents a new semisupervised method for medical image segmentation, where the networ...
Fundus Oculi Supervised Machine Learning Skin Diseases Dermatology Optic Disk Imaging, Three-Dimensional Image Processing, Computer-Assisted Liver Diagnostic Imaging Tomography, X-Ray Computed Reproducibility of Results Deep Learning Humans Neural Networks, Computer Glaucoma Algorithms Databases, Factual
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Liver segmentation in abdominal CT images via auto-context neural network and self-supervised contour attention.

Artificial intelligence in medicine Jan 23, 2021
OBJECTIVE: Accurate image segmentation of the liver is a challenging problem owing to its large shape variability and unclear boundaries. Although the applications of fully convolutional neural networks (CNNs) have shown groundbreaking results, limit...
Liver Neural Networks, Computer Attention Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Machine Learning Analysis of Longevity-Associated Gene Expression Landscapes in Mammals.

International journal of molecular sciences Jan 22, 2021
One of the important questions in aging research is how differences in transcriptomics are associated with the longevity of various species. Unfortunately, at the level of individual genes, the links between expression in different organs and maximum...
Gene Expression Mammals Algorithms Humans Brain Gene Expression Profiling Models, Genetic Longevity Machine Learning Linear Models Animals Transcriptome Liver Tissue Distribution Aging RNA-Seq Regression Analysis Bayes Theorem Computational Biology
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Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images.

Scientific reports Jan 21, 2021
Recurrence risk stratification of patients undergoing primary surgical resection for hepatocellular carcinoma (HCC) is an area of active investigation, and several staging systems have been proposed to optimize treatment strategies. However, as many ...
Liver Neoplasm Recurrence, Local Disease-Free Survival Hepatectomy Aged Liver Neoplasms Humans Male Carcinoma, Hepatocellular Prognosis Middle Aged Nomograms Female Deep Learning
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