AIMC Topic: Pattern Recognition, Automated

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Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy.

Journal of digital imaging Feb 1, 2016
Content-based medical image retrieval (CBMIR) is a powerful resource to improve differential computer-aided diagnosis. The major problem with CBMIR applications is the semantic gap, a situation in which the system does not follow the users' sense of ...
Information Storage and Retrieval Pattern Recognition, Automated Humans Machine Learning Databases, Factual Female Mammography Image Interpretation, Computer-Assisted
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Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier.

Biomedizinische Technik. Biomedical engineering Feb 1, 2016
There is general agreement in the brain-computer interface (BCI) community that although non-linear classifiers can provide better results in some cases, linear classifiers are preferable. Particularly, as non-linear classifiers often involve a numbe...
Machine Learning Algorithms Computer Simulation Female Humans Sensitivity and Specificity Male Discriminant Analysis Nonlinear Dynamics Reproducibility of Results Young Adult Adult Evoked Potentials, Motor Imagination Evoked Potentials, Somatosensory Pattern Recognition, Automated Sensorimotor Cortex Brain-Computer Interfaces Oscillometry
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Comparison of Knowledge-based Iterative Model Reconstruction and Hybrid Reconstruction Techniques for Liver CT Evaluation of Hypervascular Hepatocellular Carcinoma.

Journal of computer assisted tomography Jan 1, 2016
OBJECTIVE: The purpose of this work was to evaluate the image quality, lesion conspicuity, and dose reduction provided by knowledge-based iterative model reconstruction (IMR) in computed tomography (CT) of the liver compared with hybrid iterative rec...
Male Middle Aged Liver Neoplasms Carcinoma, Hepatocellular Aged Adult Sensitivity and Specificity Neovascularization, Pathologic Pattern Recognition, Automated Multidetector Computed Tomography Radiographic Image Enhancement Liver Radiographic Image Interpretation, Computer-Assisted Models, Biological Knowledge Bases Humans Machine Learning Algorithms Computer Simulation Republic of Korea Female Reproducibility of Results
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Bioimage Informatics for Big Data.

Advances in anatomy, embryology, and cell biology Jan 1, 2016
Bioimage informatics is a field wherein high-throughput image informatics methods are used to solve challenging scientific problems related to biology and medicine. When the image datasets become larger and more complicated, many conventional image a...
Machine Learning Data Interpretation, Statistical Humans Microscopy, Fluorescence Image Processing, Computer-Assisted Molecular Imaging Computational Biology Pattern Recognition, Automated
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Towards a Wireless Smart Polysomnograph Using Symbolic Fusion.

Studies in health technology and informatics Jan 1, 2016
Polysomnography is the gold standard test for sleep disorders among which the Sleep Apnea Syndrome (SAS) is considered a public health issue because of the increase of the cardio-and cerebro-vascular risk it is associated with. However, the reliabili...
Sensitivity and Specificity Diagnosis, Computer-Assisted Polysomnography Decision Support Systems, Clinical Wireless Technology Humans Equipment Design Artificial Intelligence Sleep Apnea Syndromes Reproducibility of Results Pattern Recognition, Automated Equipment Failure Analysis
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Automated Tracking and Quantification of Autistic Behavioral Symptoms Using Microsoft Kinect.

Studies in health technology and informatics Jan 1, 2016
The prevalence of autism spectrum disorder (ASD) has risen significantly in the last ten years, and today, roughly 1 in 68 children has been diagnosed. One hallmark set of symptoms in this disorder are stereotypical motor movements. These repetitive ...
Pattern Recognition, Automated Autistic Disorder Actigraphy Video Games Whole Body Imaging Sensitivity and Specificity Male Diagnosis, Computer-Assisted Imaging, Three-Dimensional Mental Disorders Female Reproducibility of Results Humans Machine Learning
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Natural Language Processing Technologies in Radiology Research and Clinical Applications.

Radiographics : a review publication of the Radiological Society of North America, Inc Jan 1, 2016
The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. However, ther...
Humans Machine Learning Radiology Data Mining Pattern Recognition, Automated Electronic Health Records Vocabulary, Controlled Biomedical Research Natural Language Processing
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Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing.

IEEE transactions on pattern analysis and machine intelligence Jan 1, 2016
Human parsing, namely partitioning the human body into semantic regions, has drawn much attention recently for its wide applications in human-centric analysis. Previous works often consider solving the problem of human pose estimation as the prerequi...
Humans Artificial Intelligence Algorithms Databases, Factual Computer Simulation Pattern Recognition, Automated Pattern Recognition, Visual
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Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence Jan 1, 2016
Recent trends in image understanding have pushed for scene understanding models that jointly reason about various tasks such as object detection, scene recognition, shape analysis, contextual reasoning, and local appearance based classifiers. In this...
Pattern Recognition, Visual Databases, Factual Computer Simulation Pattern Recognition, Automated Brain-Computer Interfaces Humans Artificial Intelligence Algorithms
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Editorial: Special issue on information technologies in biomedicine.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 1, 2015
Diagnostic Imaging Medical Informatics Humans Pattern Recognition, Automated Machine Learning Algorithms
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