AIMC Topic: Pattern Recognition, Automated

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Watershed based intelligent scissors.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 21, 2015
Watershed based modification of intelligent scissors has been developed. This approach requires a preprocessing phase with anisotropic diffusion to reduce subtle edges. Then, the watershed transform enhances the corridors. Finally, a roaming procedur...
Image Interpretation, Computer-Assisted Reproducibility of Results Pattern Recognition, Automated Sensitivity and Specificity Magnetic Resonance Imaging Fuzzy Logic Image Enhancement Humans Algorithms Tomography, X-Ray Computed
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Fast traffic sign recognition with a rotation invariant binary pattern based feature.

Sensors (Basel, Switzerland) Jan 19, 2015
Robust and fast traffic sign recognition is very important but difficult for safe driving assistance systems. This study addresses fast and robust traffic sign recognition to enhance driving safety. The proposed method includes three stages. First, a...
Cluster Analysis Pattern Recognition, Automated Motor Vehicles Neural Networks, Computer Artificial Intelligence Algorithms
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Human-inspired sound environment recognition system for assistive vehicles.

Journal of neural engineering Jan 14, 2015
OBJECTIVE: The human auditory system acquires environmental information under sound stimuli faster than visual or touch systems, which in turn, allows for faster human responses to such stimuli. It also complements senses such as sight, where direct ...
Automobiles Robotics Equipment Design Sound Spectrography Biomimetics Pattern Recognition, Automated Equipment Failure Analysis Humans Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity Man-Machine Systems Wheelchairs Auditory Perception
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Learning-based prediction of gestational age from ultrasound images of the fetal brain.

Medical image analysis Jan 3, 2015
We propose an automated framework for predicting gestational age (GA) and neurodevelopmental maturation of a fetus based on 3D ultrasound (US) brain image appearance. Our method capitalizes on age-related sonographic image patterns in conjunction wit...
Male Ultrasonography, Prenatal Image Interpretation, Computer-Assisted Pattern Recognition, Automated Female Reproducibility of Results Sensitivity and Specificity Echoencephalography Humans Image Enhancement Artificial Intelligence Gestational Age Algorithms Crown-Rump Length Brain
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Retinal vessel extraction using Lattice Neural Networks with Dendritic Processing.

Computers in biology and medicine Dec 31, 2014
Retinal images can be used to detect and follow up several important chronic diseases. The classification of retinal images requires an experienced ophthalmologist. This has been a bottleneck to implement routine screenings performed by general physi...
Sensitivity and Specificity Middle Aged Support Vector Machine Image Interpretation, Computer-Assisted Pattern Recognition, Automated Retinal Vessels Humans Diabetic Retinopathy Neural Networks, Computer Aged Aged, 80 and over Adult
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A fast gene selection method for multi-cancer classification using multiple support vector data description.

Journal of biomedical informatics Dec 27, 2014
For cancer classification problems based on gene expression, the data usually has only a few dozen sizes but has thousands to tens of thousands of genes which could contain a large number of irrelevant genes. A robust feature selection algorithm is r...
Bayes Theorem Gene Expression Colonic Neoplasms Pattern Recognition, Automated Gene Expression Regulation, Neoplastic Support Vector Machine Models, Statistical Oligonucleotide Array Sequence Analysis Gene Expression Regulation, Leukemic Leukemia Humans Artificial Intelligence Software Algorithms Neoplasms Gene Expression Profiling Diagnosis, Computer-Assisted
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Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses.

Artificial intelligence in medicine Dec 26, 2014
OBJECTIVE: In pattern recognition and medical diagnosis, similarity measure is an important mathematical tool. To overcome some disadvantages of existing cosine similarity measures of simplified neutrosophic sets (SNSs) in vector space, this paper pr...
Humans Artificial Intelligence Decision Support Techniques Models, Statistical Pattern Recognition, Automated
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Identifying predictive features in drug response using machine learning: opportunities and challenges.

Annual review of pharmacology and toxicology Dec 12, 2014
This article reviews several techniques from machine learning that can be used to study the problem of identifying a small number of features, from among tens of thousands of measured features, that can accurately predict a drug response. Prediction ...
Patient Selection Drug-Related Side Effects and Adverse Reactions Pattern Recognition, Automated Pharmacology Gene Regulatory Networks Gene Expression Regulation, Neoplastic Cluster Analysis Patient Safety Precision Medicine Risk Factors Animals Risk Assessment Drug Discovery Humans Antineoplastic Agents Neural Networks, Computer Artificial Intelligence Algorithms
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Active learning for semi-supervised clustering based on locally linear propagation reconstruction.

Neural networks : the official journal of the International Neural Network Society Dec 11, 2014
The success of semi-supervised clustering relies on the effectiveness of side information. To get effective side information, a new active learner learning pairwise constraints known as must-link and cannot-link constraints is proposed in this paper....
Pattern Recognition, Automated Algorithms Learning Cluster Analysis Artificial Intelligence
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Prediction of the thickness of the compensator filter in radiation therapy using computational intelligence.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Dec 11, 2014
In this study, artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) are investigated to predict the thickness of the compensator filter in radiation therapy. In the proposed models, the input parameters are field size (...
Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity Radiotherapy Dosage Scattering, Radiation Equipment Failure Analysis Radiometry Equipment Design Pattern Recognition, Automated Radiotherapy, Conformal Filtration
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