AIMC Topic: Pattern Recognition, Automated

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A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 21, 2015
The tongue is a critical organ for a variety of functions, including swallowing, respiration, and speech. It contains intrinsic and extrinsic muscles that play an important role in changing its shape and position. Diffusion tensor imaging (DTI) has b...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Sensitivity and Specificity Diffusion Magnetic Resonance Imaging Humans Muscle, Skeletal Machine Learning Algorithms Reproducibility of Results Diagnosis, Differential Bayes Theorem Tongue
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Sample Selection for Training Cascade Detectors.

PloS one Jul 21, 2015
Automatic detection systems usually require large and representative training datasets in order to obtain good detection and false positive rates. Training datasets are such that the positive set has few samples and/or the negative set should represe...
Mammography Female Area Under Curve Humans Breast Neoplasms Facial Recognition Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence ROC Curve Pattern Recognition, Automated Pedestrians Algorithms Computational Biology False Positive Reactions Databases, Factual
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Exploring multifractal-based features for mild Alzheimer's disease classification.

Magnetic resonance in medicine Jul 20, 2015
PURPOSE: Multifractal applications to resting state functional MRI (rs-fMRI) time series for diagnosing Alzheimer's disease (AD) are still limited. We aim to address two issues: (I) if and what multifractal features are sufficiently discriminative to...
Support Vector Machine Magnetic Resonance Imaging Diagnosis, Differential Alzheimer Disease Aged Sensitivity and Specificity Male Severity of Illness Index Subtraction Technique Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Fractals Brain Female Reproducibility of Results Humans Algorithms
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Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step.

Medical image analysis Jul 17, 2015
Medical ultrasound (US) image segmentation and quantification can be challenging due to signal dropouts, missing boundaries, and presence of speckle, which gives images of similar objects quite different appearance. Typically, purely intensity-based ...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Subtraction Technique Humans Algorithms Reproducibility of Results Sensitivity and Specificity Ultrasonography Fuzzy Logic
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Computational Discrimination of Breast Cancer for Korean Women Based on Epidemiologic Data Only.

Journal of Korean medical science Jul 15, 2015
Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasing annually. If early diagnosis were implemented with epidemiologic data, the women could easily assess breast cancer risk using internet. National Ca...
Humans Breast Neoplasms Middle Aged Risk Assessment Prevalence Pattern Recognition, Automated Women's Health Diagnosis, Computer-Assisted Early Detection of Cancer Risk Factors Aged Aged, 80 and over Machine Learning Adult Sensitivity and Specificity Republic of Korea Female Reproducibility of Results
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Leveraging anatomical information to improve transfer learning in brain-computer interfaces.

Journal of neural engineering Jul 14, 2015
OBJECTIVE: Brain-computer interfaces (BCIs) represent a technology with the potential to rehabilitate a range of traumatic and degenerative nervous system conditions but require a time-consuming training process to calibrate. An area of BCI research ...
Humans Machine Learning Algorithms Computer Simulation Pattern Recognition, Automated Models, Neurological Brain-Computer Interfaces Brain Mapping Cerebral Cortex Electroencephalography Models, Anatomic Information Storage and Retrieval
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Computerized measures of visual complexity.

Acta psychologica Jul 10, 2015
Visual complexity influences people's perception of, preference for, and behaviour toward many classes of objects, from artworks to web pages. The ability to predict people's impression of the complexity of different kinds of visual stimuli holds, th...
Humans Neural Networks, Computer Male Machine Learning Pattern Recognition, Automated Female Pattern Recognition, Visual Young Adult Adult
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Unsupervised lineage-based characterization of primate precursors reveals high proliferative and morphological diversity in the OSVZ.

The Journal of comparative neurology Jul 7, 2015
Generation of the primate cortex is characterized by the diversity of cortical precursors and the complexity of their lineage relationships. Recent studies have reported miscellaneous precursor types based on observer classification of cell biology f...
Cluster Analysis Unsupervised Machine Learning Stem Cells Markov Chains Video Recording Brain Animals Image Processing, Computer-Assisted Microscopy, Confocal Genetic Vectors Tissue Culture Techniques Macaca fascicularis Hydrozoa Stem Cell Niche Pattern Recognition, Automated Immunohistochemistry Green Fluorescent Proteins Cell Lineage
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Weighting training images by maximizing distribution similarity for supervised segmentation across scanners.

Medical image analysis Jul 7, 2015
Many automatic segmentation methods are based on supervised machine learning. Such methods have proven to perform well, on the condition that they are trained on a sufficiently large manually labeled training set that is representative of the images ...
Image Enhancement Subtraction Technique Statistical Distributions Diffusion Magnetic Resonance Imaging Data Interpretation, Statistical Supervised Machine Learning Image Interpretation, Computer-Assisted Pattern Recognition, Automated Algorithms Brain Reproducibility of Results Sensitivity and Specificity Humans
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Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.

Medical image analysis Jul 4, 2015
This paper addresses the automated segmentation of multiple organs in upper abdominal computed tomography (CT) data. The aim of our study is to develop methods to effectively construct the conditional priors and use their prediction power for more ac...
Sensitivity and Specificity Imaging, Three-Dimensional Unsupervised Machine Learning Radiographic Image Interpretation, Computer-Assisted Radiographic Image Enhancement Radiography, Abdominal Pattern Recognition, Automated Viscera Humans Algorithms Tomography, X-Ray Computed Reproducibility of Results
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