AIMC Topic: Pattern Recognition, Automated

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Novel structural descriptors for automated colon cancer detection and grading.

Computer methods and programs in biomedicine Jun 6, 2015
The histopathological examination of tissue specimens is necessary for the diagnosis and grading of colon cancer. However, the process is subjective and leads to significant inter/intra observer variation in diagnosis as it mainly relies on the visua...
Male Middle Aged Support Vector Machine Neoplasm Grading Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Colonic Neoplasms Microscopy Reproducibility of Results Aged Adult Sensitivity and Specificity Humans Algorithms Female
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Optimized face recognition algorithm using radial basis function neural networks and its practical applications.

Neural networks : the official journal of the International Neural Network Society Jun 5, 2015
In this study, we propose a hybrid method of face recognition by using face region information extracted from the detected face region. In the preprocessing part, we develop a hybrid approach based on the Active Shape Model (ASM) and the Principal Co...
Facial Recognition Humans Neural Networks, Computer Algorithms Pattern Recognition, Automated Biometric Identification Photic Stimulation Cluster Analysis Principal Component Analysis
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A Markov random field approach to group-wise registration/mosaicing with application to ultrasound.

Medical image analysis Jun 3, 2015
In this paper we present a group-wise non-rigid registration/mosaicing algorithm based on block-matching, which is developed within a probabilistic framework. The discrete form of its energy functional is linked to a Markov Random Field (MRF) contain...
Computer Simulation Pregnancy Female Reproducibility of Results Humans Machine Learning Algorithms Data Interpretation, Statistical Markov Chains Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Sensitivity and Specificity Ultrasonography Imaging, Three-Dimensional Models, Statistical Subtraction Technique
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Control of a Wheelchair in an Indoor Environment Based on a Brain-Computer Interface and Automated Navigation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 1, 2015
The concept of controlling a wheelchair using brain signals is promising. However, the continuous control of a wheelchair based on unstable and noisy electroencephalogram signals is unreliable and generates a significant mental burden for the user. A...
Young Adult Adult Sensitivity and Specificity Male Ecosystem Brain-Computer Interfaces Equipment Failure Analysis Man-Machine Systems Wheelchairs Spatial Navigation Humans Machine Learning Female Reproducibility of Results Robotics Electroencephalography Equipment Design Pattern Recognition, Automated
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A Robust and Fast Computation Touchless Palm Print Recognition System Using LHEAT and the IFkNCN Classifier.

Computational intelligence and neuroscience May 31, 2015
Mobile implementation is a current trend in biometric design. This paper proposes a new approach to palm print recognition, in which smart phones are used to capture palm print images at a distance. A touchless system was developed because of public ...
Hand Dermatoglyphics Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Humans Artificial Intelligence Mobile Applications Cluster Analysis
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Myocardial perfusion analysis in cardiac computed tomography angiographic images at rest.

Medical image analysis May 27, 2015
Cardiac computed tomography angiography (CTA) is a non-invasive method for anatomic evaluation of coronary artery stenoses. However, CTA is prone to artifacts that reduce the diagnostic accuracy to identify stenoses. Further, CTA does not allow for d...
Radiographic Image Enhancement Pattern Recognition, Automated Humans Rest Machine Learning Sensitivity and Specificity Tomography, X-Ray Computed Myocardial Perfusion Imaging Algorithms Coronary Angiography Reproducibility of Results Coronary Stenosis Radiographic Image Interpretation, Computer-Assisted
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Combined unsupervised-supervised classification of multiparametric PET/MRI data: application to prostate cancer.

NMR in biomedicine May 26, 2015
Multiparametric medical imaging data can be large and are often complex. Machine learning algorithms can assist in image interpretation when reliable training data exist. In most cases, however, knowledge about ground truth (e.g. histology) and thus ...
Aged Aged, 80 and over Sensitivity and Specificity Male Multimodal Imaging Humans Prostatic Neoplasms Machine Learning Positron-Emission Tomography Algorithms Middle Aged Reproducibility of Results Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Pattern Recognition, Automated Image Enhancement
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Real-time human pose estimation and gesture recognition from depth images using superpixels and SVM classifier.

Sensors (Basel, Switzerland) May 26, 2015
In this paper, we present human pose estimation and gesture recognition algorithms that use only depth information. The proposed methods are designed to be operated with only a CPU (central processing unit), so that the algorithm can be operated on a...
Image Processing, Computer-Assisted Support Vector Machine Posture Pattern Recognition, Automated Humans Female Male Gestures
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Classification of multiple sclerosis lesions using adaptive dictionary learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 21, 2015
This paper presents a sparse representation and an adaptive dictionary learning based method for automated classification of multiple sclerosis (MS) lesions in magnetic resonance (MR) images. Manual delineation of MS lesions is a time-consuming task,...
Humans Dictionaries as Topic Diagnosis, Computer-Assisted Machine Learning Magnetic Resonance Imaging Algorithms Multiple Sclerosis Pattern Recognition, Automated
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Annotating risk factors for heart disease in clinical narratives for diabetic patients.

Journal of biomedical informatics May 21, 2015
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on identifying risk factors for heart disease (specifically, Cardiac Artery Disease) in clinical narratives. For this track, we used a "light" annotation paradigm...
Boston Pattern Recognition, Automated Computer Security Vocabulary, Controlled Diabetes Complications Confidentiality Data Mining Documentation New York Middle Aged Risk Assessment Comorbidity Incidence Narration Natural Language Processing Electronic Health Records Coronary Artery Disease Female Humans Cohort Studies Aged Longitudinal Studies Male
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