AIMC Topic: Liver
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Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning.
Nature biomedical engineering
Mar 4, 2019
The histological analysis of tissue samples, widely used for disease diagnosis, involves lengthy and laborious tissue preparation. Here, we show that a convolutional neural network trained using a generative adversarial-network model can transform wi...
Dynamic Regulation of Level Set Parameters Using 3D Convolutional Neural Network for Liver Tumor Segmentation.
Journal of healthcare engineering
Feb 24, 2019
Segmentation of liver tumors plays an important role in the choice of therapeutic strategies for liver disease and treatment monitoring. In this paper, we generalize the process of a level set with a novel algorithm of dynamic regulation to energy fu...
Liver Extraction Using Residual Convolution Neural Networks From Low-Dose CT Images.
IEEE transactions on bio-medical engineering
Jan 21, 2019
An efficient and precise liver extraction from computed tomography (CT) images is a crucial step for computer-aided hepatic diseases diagnosis and treatment. Considering the possible risk to patient's health due to X-ray radiation of repetitive CT ex...
Determination of Oleandrin in Blood and Liver Samples by LC-MS/MS.
Fa yi xue za zhi
Dec 25, 2018
OBJECTIVES: To develop a liquid chromatography-tandem mass spectrometry （LC-MS/MS） analytical method for the determination of oleandrin in blood and liver tissues, which could be applied to the cases of death caused by oleander poisoning.
Quantitative ultrasound and machine learning for assessment of steatohepatitis in a rat model.
European radiology
Dec 17, 2018
OBJECTIVES: To develop a machine learning model based on quantitative ultrasound (QUS) parameters to improve classification of steatohepatitis with shear wave elastography in rats by using histopathology scoring as the reference standard.
Protective effects of Ganoderma triterpenoids on cadmium-induced oxidative stress and inflammatory injury in chicken livers.
Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS)
Dec 15, 2018
Several studies have been conducted on liver damage caused by cadmium, but few on the protective effects of Ganoderma triterpenoids against liver damage due to cadmium. This experiment was designed to evaluate the protective effects of Ganoderma trit...
Effect of inter-individual variability in human liver cytochrome P450 isozymes on cyclophosphamide-induced micronucleus formation.
Mutation research. Genetic toxicology and environmental mutagenesis
Dec 5, 2018
We investigated the relationship between metabolic activities of cytochrome P450 (CYP) isozymes present in microsomal fractions derived from the livers of 78 donors and micronucleus induction by cyclophosphamide (CPA). Consequently, a wide inter-indi...
A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
We propose a scalable computerized approach for large-scale inference of Liver Imaging Reporting and Data System (LI-RADS) final assessment categories in narrative ultrasound (US) reports. Although our model was trained on reports created using a LI-...
Deep Sequential Segmentation of Organs in Volumetric Medical Scans.
IEEE transactions on medical imaging
Nov 16, 2018
Segmentation in 3-D scans is playing an increasingly important role in current clinical practice supporting diagnosis, tissue quantification, or treatment planning. The current 3-D approaches based on convolutional neural networks usually suffer from...
An Improved Fuzzy Connectedness Method for Automatic Three-Dimensional Liver Vessel Segmentation in CT Images.
Journal of healthcare engineering
Oct 29, 2018
In this paper, an improved fuzzy connectedness (FC) method was proposed for automatic three-dimensional (3D) liver vessel segmentation in computed tomography (CT) images. The vessel-enhanced image (i.e., vesselness image) was incorporated into the fu...
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