AIMC Topic: Humans
Showing 65761 to 65770 of 95995 articles
Qualitative versus quantitative lumbar spinal stenosis grading by machine learning supported texture analysis-Experience from the LSOS study cohort.
European journal of radiology
Feb 19, 2019
PURPOSE: To investigate and compare the reproducibility and accuracy of qualitative ratings and quantitative texture analysis (TA) in detection and grading of lumbar spinal stenosis (LSS) in magnetic resonance imaging (MR) scans of the lumbar spine.
Leaving hip rotation out of a conventional 3D gait model improves discrimination of pathological gait in cerebral palsy: A novel neural network analysis.
Gait & posture
Feb 19, 2019
BACKGROUND: Complex clinical gait analysis results can be expressed as single number gait deviations by applying multivariate processing methods. The original Movement Deviation Profile (MDP) quantifies the deviation of abnormal gait using the most t...
Predicting overall survival of patients with hepatocellular carcinoma using a three-category method based on DNA methylation and machine learning.
Journal of cellular and molecular medicine
Feb 19, 2019
Hepatocellular carcinoma (HCC) is closely associated with abnormal DNA methylation. In this study, we analyzed 450K methylation chip data from 377 HCC samples and 50 adjacent normal samples in the TCGA database. We screened 47,099 differentially meth...
Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals.
Computers in biology and medicine
Feb 19, 2019
In motor imagery (MI) based brain-computer interface (BCI) signal analysis, mu and beta rhythms of electroencephalograms (EEGs) are widely investigated due to their high temporal resolution and capability to define the different movement-related ment...
Deep Neural Networks as Scientific Models.
Trends in cognitive sciences
Feb 19, 2019
Artificial deep neural networks (DNNs) initially inspired by the brain enable computers to solve cognitive tasks at which humans excel. In the absence of explanations for such cognitive phenomena, in turn cognitive scientists have started using DNNs ...
Automated Triage Radiation Biodosimetry: Integrating Imaging Flow Cytometry with High-Throughput Robotics to Perform the Cytokinesis-Block Micronucleus Assay.
Radiation research
Feb 19, 2019
The cytokinesis-block micronucleus (CBMN) assay has become a fully-validated and standardized method for radiation biodosimetry. The assay is typically performed using microscopy, which is labor intensive, time consuming and impractical after a large...
Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.
Medical physics
Feb 19, 2019
PURPOSE: Reliable automated segmentation of the prostate is indispensable for image-guided prostate interventions. However, the segmentation task is challenging due to inhomogeneous intensity distributions, variation in prostate anatomy, among other ...
Artificial intelligence to support human instruction.
Proceedings of the National Academy of Sciences of the United States of America
Feb 19, 2019
A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals.
International journal of environmental research and public health
Feb 19, 2019
Sleep disorder is a symptom of many neurological diseases that may significantly affect the quality of daily life. Traditional methods are time-consuming and involve the manual scoring of polysomnogram (PSG) signals obtained in a laboratory environme...
A Highly Sensitive Pressure-Sensing Array for Blood Pressure Estimation Assisted by Machine-Learning Techniques.
Sensors (Basel, Switzerland)
Feb 19, 2019
This work describes the development of a pressure-sensing array for noninvasive continuous blood pulse-wave monitoring. The sensing elements comprise a conductive polymer film and interdigital electrodes patterned on a flexible Parylene C substrate. ...
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