AIMC Topic:
Image Interpretation, Computer-Assisted

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A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.

Artificial intelligence in medicine Oct 30, 2015
OBJECTIVE: This work presents a computer-based approach to analyze the two-dimensional vocal fold dynamics of endoscopic high-speed videos, and constitutes an extension and generalization of a previously proposed wavelet-based procedure. While most a...
Female Reproducibility of Results Aged Adult Biomechanical Phenomena Male Middle Aged Case-Control Studies Time Factors Humans Laryngoscopy Vibration Phonation Larynx Support Vector Machine Voice Quality Image Interpretation, Computer-Assisted Predictive Value of Tests Principal Component Analysis Pattern Recognition, Automated Video Recording Wavelet Analysis Vocal Cords Voice Disorders
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Fully automatized renal parenchyma volumetry using a support vector machine based recognition system for subject-specific probability map generation in native MR volume data.

Physics in medicine and biology Oct 28, 2015
In epidemiological studies as well as in clinical practice the amount of produced medical image data strongly increased in the last decade. In this context organ segmentation in MR volume data gained increasing attention for medical applications. Esp...
Imaging, Three-Dimensional Kidney Support Vector Machine Magnetic Resonance Imaging Models, Biological Humans Algorithms Computer Simulation Sensitivity and Specificity Probability Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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A novel fuzzy logic-based image steganography method to ensure medical data security.

Computers in biology and medicine Oct 27, 2015
This study aims to secure medical data by combining them into one file format using steganographic methods. The electroencephalogram (EEG) is selected as hidden data, and magnetic resonance (MR) images are also used as the cover image. In addition to...
Electronic Health Records Reproducibility of Results Sensitivity and Specificity Logistic Models Fuzzy Logic Confidentiality Image Interpretation, Computer-Assisted Information Storage and Retrieval Computer Security Humans Algorithms
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Exploiting ensemble learning for automatic cataract detection and grading.

Computer methods and programs in biomedicine Oct 24, 2015
Cataract is defined as a lenticular opacity presenting usually with poor visual acuity. It is one of the most common causes of visual impairment worldwide. Early diagnosis demands the expertise of trained healthcare professionals, which may present a...
Image Enhancement Ophthalmoscopy Sensitivity and Specificity Cataract Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Machine Learning Algorithms Reproducibility of Results
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Graph-guided joint prediction of class label and clinical scores for the Alzheimer's disease.

Brain structure & function Oct 17, 2015
Accurate diagnosis of Alzheimer's disease and its prodromal stage, i.e., mild cognitive impairment, is very important for early treatment. Over the last decade, various machine learning methods have been proposed to predict disease status and clinica...
Machine Learning Algorithms Brain Computer Simulation Female Humans Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Aged Male Cognitive Dysfunction Magnetic Resonance Imaging
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Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems.

Scientific reports Oct 14, 2015
Neuromorphic chips embody computational principles operating in the nervous system, into microelectronic devices. In this domain it is important to identify computational primitives that theory and experiments suggest as generic and reusable cognitiv...
Animals Photic Stimulation Computer Systems Humans Visual Perception Neural Networks, Computer Unsupervised Machine Learning Equipment Design Signal Processing, Computer-Assisted Biomimetics Image Interpretation, Computer-Assisted Pattern Recognition, Automated Equipment Failure Analysis
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A semi-supervised Support Vector Machine model for predicting the language outcomes following cochlear implantation based on pre-implant brain fMRI imaging.

Brain and behavior Oct 12, 2015
INTRODUCTION: We developed a machine learning model to predict whether or not a cochlear implant (CI) candidate will develop effective language skills within 2 years after the CI surgery by using the pre-implant brain fMRI data from the candidate.
Hearing Loss, Sensorineural Language Tests ROC Curve Female Models, Neurological Male Treatment Outcome Humans Hypnotics and Sedatives Infant Support Vector Machine Brain Area Under Curve Child, Preschool Magnetic Resonance Imaging Prognosis Image Interpretation, Computer-Assisted Language Cochlear Implantation
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Voxel-based Gaussian naïve Bayes classification of ischemic stroke lesions in individual T1-weighted MRI scans.

Journal of neuroscience methods Oct 1, 2015
BACKGROUND: Manual lesion delineation by an expert is the standard for lesion identification in MRI scans, but it is time-consuming and can introduce subjective bias. Alternative methods often require multi-modal MRI data, user interaction, scans fro...
Female Reproducibility of Results Aged Bayes Theorem Young Adult Humans Stroke Male Adult Brain Supervised Machine Learning Middle Aged Brain Ischemia Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Chronic Disease
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Analyzing animal behavior via classifying each video frame using convolutional neural networks.

Scientific reports Sep 23, 2015
High-throughput analysis of animal behavior requires software to analyze videos. Such software analyzes each frame individually, detecting animals' body parts. But the image analysis rarely attempts to recognize "behavioral states"-e.g., actions or f...
Sexual Behavior, Animal Drosophila Behavior Observation Techniques Animals Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Neural Networks, Computer Machine Learning Software Algorithms
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A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 21, 2015
Intravascular optical coherence tomography (IV-OCT) is an in-vivo imaging modality based on the intravascular introduction of a catheter which provides a view of the inner wall of blood vessels with a spatial resolution of 10-20 μm. Recent studies in...
Sensitivity and Specificity Data Interpretation, Statistical Radiography Tomography, Optical Coherence Least-Squares Analysis Humans Image Enhancement Coronary Artery Disease Reproducibility of Results Supervised Machine Learning Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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