AIMC Topic: Pattern Recognition, Automated

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Machine learning will transform radiology significantly within the next 5 years.

Medical physics Apr 20, 2017
Radiology Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Machine Learning Radiography
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Multi-center machine learning in imaging psychiatry: A meta-model approach.

NeuroImage Apr 17, 2017
One of the biggest problems in automated diagnosis of psychiatric disorders from medical images is the lack of sufficiently large samples for training. Sample size is especially important in the case of highly heterogeneous disorders such as schizoph...
Pattern Recognition, Automated Neuroimaging Multicenter Studies as Topic Schizophrenia Datasets as Topic Humans Female Male Support Vector Machine Magnetic Resonance Imaging
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Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data.

BMC medical informatics and decision making Apr 13, 2017
BACKGROUND: Feature selection methods are commonly used to identify subsets of relevant features to facilitate the construction of models for classification, yet little is known about how feature selection methods perform in diffusion tensor images (...
Male Pattern Recognition, Automated Middle Aged Neuropsychological Tests Diagnosis, Computer-Assisted Diffusion Tensor Imaging Algorithms Surveys and Questionnaires Migraine Disorders Female Support Vector Machine Headache Adult Emotions Advisory Committees Humans Machine Learning
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Learning a Deep Model for Human Action Recognition from Novel Viewpoints.

IEEE transactions on pattern analysis and machine intelligence Apr 6, 2017
Recognizing human actions from unknown and unseen (novel) views is a challenging problem. We propose a Robust Non-Linear Knowledge Transfer Model (R-NKTM) for human action recognition from novel views. The proposed R-NKTM is a deep fully-connected ne...
Humans Image Processing, Computer-Assisted Video Recording Pattern Recognition, Automated Neural Networks, Computer Algorithms Imaging, Three-Dimensional Human Activities
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A Machine Learning-based Method for Question Type Classification in Biomedical Question Answering.

Methods of information in medicine Mar 31, 2017
BACKGROUND AND OBJECTIVE: Biomedical question type classification is one of the important components of an automatic biomedical question answering system. The performance of the latter depends directly on the performance of its biomedical question ty...
Surveys and Questionnaires Semantics Machine Learning Natural Language Processing Biological Ontologies Information Storage and Retrieval Pattern Recognition, Automated
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Addressing multi-label imbalance problem of surgical tool detection using CNN.

International journal of computer assisted radiology and surgery Mar 29, 2017
PURPOSE: A fully automated surgical tool detection framework is proposed for endoscopic video streams. State-of-the-art surgical tool detection methods rely on supervised one-vs-all or multi-class classification techniques, completely ignoring the co...
Endoscopy Foreign Bodies Humans Image Processing, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer Algorithms
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Autoassociative Memory and Pattern Recognition in Micromechanical Oscillator Network.

Scientific reports Mar 24, 2017
Towards practical realization of brain-inspired computing in a scalable physical system, we investigate a network of coupled micromechanical oscillators. We numerically simulate this array of all-to-all coupled nonlinear oscillators in the presence o...
Physical Phenomena Memory Oscillometry Models, Theoretical Nonlinear Dynamics Neural Networks, Computer Pattern Recognition, Automated Computer Simulation
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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...
Image Processing, Computer-Assisted Neural Networks, Computer Pattern Recognition, Automated Algorithms
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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...
Algorithms Lung Lung Diseases, Interstitial Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Neural Networks, Computer
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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...
Myocardial Contraction Automation Pattern Recognition, Automated Humans Echocardiography, Doppler, Color Image Interpretation, Computer-Assisted Observer Variation Diagnosis, Computer-Assisted Time Factors Magnetic Resonance Imaging Ventricular Function, Left Machine Learning Predictive Value of Tests Severity of Illness Index Reproducibility of Results Principal Component Analysis Case-Control Studies Biomechanical Phenomena Myocardial Infarction
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