AIMC Topic: Pattern Recognition, Automated

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Multimodal medical information retrieval with unsupervised rank fusion.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 23, 2014
Modern medical information retrieval systems are paramount to manage the insurmountable quantities of clinical data. These systems empower health care experts in the diagnosis of patients and play an important role in the clinical decision process. H...
PubMed Documentation Information Storage and Retrieval Medical Subject Headings Artificial Intelligence User-Computer Interface Algorithms Multimodal Imaging Natural Language Processing Pattern Recognition, Automated Terminology as Topic Radiology Information Systems Vocabulary, Controlled Subtraction Technique
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Optimal classification by mixed-initiative nested thresholding.

IEEE transactions on cybernetics May 7, 2014
We propose a novel architecture for a team of machine and human classifiers (i.e., a mixed-initiative team). We adopt a model of performance that is workload-dependent for the human and workload-independent for the machine. The team is structured in ...
Cybernetics Humans Artificial Intelligence Models, Statistical Algorithms Pattern Recognition, Automated Decision Making, Computer-Assisted
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Comparing fusion techniques for the ImageCLEF 2013 medical case retrieval task.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 24, 2014
Retrieval systems can supply similar cases with a proven diagnosis to a new example case under observation to help clinicians during their work. The ImageCLEFmed evaluation campaign proposes a framework where research groups can compare case-based re...
Multimodal Imaging Natural Language Processing Documentation Information Storage and Retrieval Pattern Recognition, Automated Terminology as Topic Radiology Information Systems Vocabulary, Controlled Artificial Intelligence Algorithms User-Computer Interface Subtraction Technique
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Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people.

IEEE journal of biomedical and health informatics Apr 21, 2014
Activity recognition of an elderly person can be used to provide information and intelligent services to health care professionals, carers, elderly people, and their families so that the elderly people can remain at homes independently. This study in...
Transducers Actigraphy Motor Activity Male Subtraction Technique Female Models, Genetic Humans Activities of Daily Living Reproducibility of Results Electrocardiography, Ambulatory Artificial Intelligence Pattern Recognition, Automated Geriatric Assessment Aged Algorithms Accelerometry Sensitivity and Specificity Thermography
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Stroke parameters identification algorithm in handwriting movements analysis by synthesis.

IEEE journal of biomedical and health informatics Apr 21, 2014
This paper presents a new approach to identify the stroke parameters in handwriting movement data understanding. A two-step analysis by synthesis paradigm is employed to facilitate the coarse-to-fine parameter identification for all strokes. One is t...
Reproducibility of Results Sensitivity and Specificity Hand Pattern Recognition, Automated Task Performance and Analysis Biometry Movement Handwriting Humans Artificial Intelligence Algorithms
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Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach.

Clinical EEG and neuroscience Apr 14, 2014
Feature selection is an important step in many pattern recognition systems aiming to overcome the so-called curse of dimensionality. In this study, an optimized classification method was tested in 147 patients with major depressive disorder (MDD) tre...
Humans Neural Networks, Computer Treatment Outcome Algorithms Electroencephalography Female Pattern Recognition, Automated Male Transcranial Magnetic Stimulation Depressive Disorder, Major
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Aggregate features in multisample classification problems.

IEEE journal of biomedical and health informatics Apr 2, 2014
This paper evaluates the classification of multisample problems, such as electromyographic (EMG) data, by making aggregate features available to a per-sample classifier. It is found that the accuracy of this approach is superior to that of traditiona...
Electromyography Pattern Recognition, Automated Algorithms Decision Support Systems, Clinical Bayes Theorem Humans Signal Processing, Computer-Assisted Machine Learning
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Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 27, 2014
Medical image retrieval and classification have been extremely active research topics over the past 15 years. Within the ImageCLEF benchmark in medical image retrieval and classification, a standard test bed was created that allows researchers to com...
Natural Language Processing Documentation Information Storage and Retrieval Pattern Recognition, Automated Artificial Intelligence Algorithms User-Computer Interface Multimodal Imaging Terminology as Topic Radiology Information Systems Vocabulary, Controlled Subtraction Technique
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PANDA-T1ρ: Integrating principal component analysis and dictionary learning for fast T1ρ mapping.

Magnetic resonance in medicine Feb 14, 2014
PURPOSE: Long scanning time greatly hinders the widespread application of spin-lattice relaxation in rotating frame (T1ρ) in clinics. In this study, a novel method is proposed to reconstruct the T1ρ-weighted images from undersampled k-space data and ...
Humans Machine Learning Algorithms Brain Image Interpretation, Computer-Assisted Spinal Cord Pattern Recognition, Automated Magnetic Resonance Imaging Image Enhancement Computer Simulation Models, Statistical Systems Integration Reproducibility of Results Principal Component Analysis Subtraction Technique Sensitivity and Specificity Data Interpretation, Statistical
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A multistaged automatic restoration of noisy microscopy cell images.

IEEE journal of biomedical and health informatics Feb 10, 2014
Automated cell segmentation for microscopy cell images has recently become an initial step for further image analysis in cell biology. However, microscopy cell images are easily degraded by noise during the readout procedure via optical-electronic im...
Artifacts Sensitivity and Specificity Signal-To-Noise Ratio Artificial Intelligence Cell Tracking Pattern Recognition, Automated Data Interpretation, Statistical Algorithms Yeasts Microscopy Reproducibility of Results Image Enhancement Image Interpretation, Computer-Assisted
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