AIMC Topic: Pattern Recognition, Automated

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A top-down manner-based DCNN architecture for semantic image segmentation.

PloS one Mar 24, 2017
Given their powerful feature representation for recognition, deep convolutional neural networks (DCNNs) have been driving rapid advances in high-level computer vision tasks. However, their performance in semantic image segmentation is still not satis...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Pattern Recognition, Automated
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Multiscale Rotation-Invariant Convolutional Neural Networks for Lung Texture Classification.

IEEE journal of biomedical and health informatics Mar 21, 2017
We propose a new multiscale rotation-invariant convolutional neural network (MRCNN) model for classifying various lung tissue types on high-resolution computed tomography. MRCNN employs Gabor-local binary pattern that introduces a good property in im...
Lung Lung Diseases, Interstitial Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Neural Networks, Computer Algorithms
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Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification.

The international journal of cardiovascular imaging Mar 20, 2017
The aim of this study was to analyze the whole temporal profiles of the segmental deformation curves of the left ventricle (LV) and describe their interrelations to obtain more detailed information concerning global LV function in order to be able to...
Machine Learning Reproducibility of Results Biomechanical Phenomena Ventricular Function, Left Severity of Illness Index Case-Control Studies Diagnosis, Computer-Assisted Time Factors Magnetic Resonance Imaging Humans Predictive Value of Tests Observer Variation Principal Component Analysis Automation Myocardial Infarction Pattern Recognition, Automated Image Interpretation, Computer-Assisted Echocardiography, Doppler, Color Myocardial Contraction
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Vector-model-supported approach in prostate plan optimization.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Mar 18, 2017
Lengthy time consumed in traditional manual plan optimization can limit the use of step-and-shoot intensity-modulated radiotherapy/volumetric-modulated radiotherapy (S&S IMRT/VMAT). A vector model base, retrieving similar radiotherapy cases, was deve...
Humans Decision Support Systems, Clinical Radiotherapy Planning, Computer-Assisted Computer Simulation Support Vector Machine Reproducibility of Results Pattern Recognition, Automated Sensitivity and Specificity Prostatic Neoplasms Radiotherapy Dosage Models, Biological Male Radiometry
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Vector-model-supported optimization in volumetric-modulated arc stereotactic radiotherapy planning for brain metastasis.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Mar 18, 2017
Long planning time in volumetric-modulated arc stereotactic radiotherapy (VMA-SRT) cases can limit its clinical efficiency and use. A vector model could retrieve previously successful radiotherapy cases that share various common anatomic features wit...
Aged, 80 and over Adult Sensitivity and Specificity Cranial Irradiation Brain Neoplasms Male Computer Simulation Female Reproducibility of Results Aged Radiotherapy Planning, Computer-Assisted Middle Aged Humans Decision Support Systems, Clinical Pattern Recognition, Automated Support Vector Machine Radiotherapy Dosage Models, Biological Radiosurgery Radiometry
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Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections.

Kidney international Mar 17, 2017
The immune system has evolved to sense invading pathogens, control infection, and restore tissue integrity. Despite symptomatic variability in patients, unequivocal evidence that an individual's immune system distinguishes between different organisms...
Male Point-of-Care Systems Middle Aged Case-Control Studies Adolescent Aged Aged, 80 and over Young Adult Adult Acute Disease Point-of-Care Testing Nonlinear Dynamics Pattern Recognition, Automated Host-Pathogen Interactions Time Factors ROC Curve Bacteria Predictive Value of Tests Area Under Curve Humans Machine Learning Biomarkers Female Reproducibility of Results Peritoneal Dialysis Gram-Positive Bacterial Infections Gram-Negative Bacterial Infections Peptide Mapping Peritonitis
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Collaborative Active Visual Recognition from Crowds: A Distributed Ensemble Approach.

IEEE transactions on pattern analysis and machine intelligence Mar 15, 2017
Active learning is an effective way of engaging users to interactively train models for visual recognition more efficiently. The vast majority of previous works focused on active learning with a single human oracle. The problem of active learning wit...
Image Processing, Computer-Assisted Supervised Machine Learning Pattern Recognition, Automated Crowding Humans Algorithms Female Male
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Goal-recognition-based adaptive brain-computer interface for navigating immersive robotic systems.

Journal of neural engineering Mar 15, 2017
OBJECTIVE: This work proposes principled strategies for self-adaptations in EEG-based Brain-computer interfaces (BCIs) as a way out of the bandwidth bottleneck resulting from the considerable mismatch between the low-bandwidth interface and the bandw...
Man-Machine Systems Adaptation, Physiological Sensitivity and Specificity User-Computer Interface Models, Statistical Robotics Biofeedback, Psychology Psychomotor Performance Goals Pattern Recognition, Automated Humans Brain-Computer Interfaces Algorithms Computer Simulation Reproducibility of Results
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Regularized Speaker Adaptation of KL-HMM for Dysarthric Speech Recognition.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 13, 2017
This paper addresses the problem of recognizing the speech uttered by patients with dysarthria, which is a motor speech disorder impeding the physical production of speech. Patients with dysarthria have articulatory limitation, and therefore, they of...
Speech Production Measurement Markov Chains Pattern Recognition, Automated Dysarthria Communication Devices for People with Disabilities Humans Machine Learning Algorithms Reproducibility of Results Computer Simulation Adult Female Sensitivity and Specificity Male Models, Statistical
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Improving zero-training brain-computer interfaces by mixing model estimators.

Journal of neural engineering Mar 13, 2017
OBJECTIVE: Brain-computer interfaces (BCI) based on event-related potentials (ERP) incorporate a decoder to classify recorded brain signals and subsequently select a control signal that drives a computer application. Standard supervised BCI decoders ...
Algorithms Pattern Recognition, Automated Brain Brain-Computer Interfaces Adult Computer Simulation Task Performance and Analysis Female Sensitivity and Specificity Evoked Potentials Humans Reproducibility of Results Communication Devices for People with Disabilities Male Machine Learning Models, Statistical Data Interpretation, Statistical
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