AIMC Topic: Image Enhancement

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Autofocusing and Polar Body Detection in Automated Cell Manipulation.

IEEE transactions on bio-medical engineering Jul 13, 2016
Autofocusing and feature detection are two essential processes for performing automated biological cell manipulation tasks. In this paper, we have introduced a technique capable of focusing on a holding pipette and a mammalian cell under a bright-fie...
Cells, Cultured Reproducibility of Results Sensitivity and Specificity Image Enhancement Cell Separation Cell Tracking Micromanipulation Polar Bodies Animals Mice Robotics Image Interpretation, Computer-Assisted
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Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines.

BioMed research international Jun 13, 2016
Background. One of the fatal disorders causing death is malignant melanoma, the deadliest form of skin cancer. The aim of the modern dermatology is the early detection of skin cancer, which usually results in reducing the mortality rate and less exte...
Support Vector Machine Early Diagnosis Dermoscopy Image Enhancement Humans Nevus Software Design Reproducibility of Results Algorithms Sensitivity and Specificity Melanoma Diagnosis, Computer-Assisted Skin Neoplasms
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Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data.

NeuroImage Jun 10, 2016
Parkinson's disease (PD) is an overwhelming neurodegenerative disorder caused by deterioration of a neurotransmitter, known as dopamine. Lack of this chemical messenger impairs several brain regions and yields various motor and non-motor symptoms. In...
Image Enhancement Humans Algorithms Male Female Parkinson Disease Middle Aged Brain Sensitivity and Specificity Unsupervised Machine Learning Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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Improved spatial accuracy of functional maps in the rat olfactory bulb using supervised machine learning approach.

NeuroImage May 25, 2016
Functional MRI (fMRI) is a popular and important tool for noninvasive mapping of neural activity. As fMRI measures the hemodynamic response, the resulting activation maps do not perfectly reflect the underlying neural activity. The purpose of this wo...
Image Enhancement Olfactory Bulb Electric Stimulation Supervised Machine Learning Image Interpretation, Computer-Assisted Pattern Recognition, Automated Smell Rats Magnetic Resonance Imaging Rats, Sprague-Dawley Brain Mapping Algorithms Animals Male Spatio-Temporal Analysis Reproducibility of Results Sensitivity and Specificity
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Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.

IEEE transactions on bio-medical engineering May 12, 2016
OBJECTIVE: To obtain high-quality positron emission tomography (PET) image with low-dose tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from both its low-dose PET (L-PET) counterpart and corresponding magnetic re...
Radiation Dosage Radiation Exposure Subtraction Technique Radiation Protection Supervised Machine Learning Positron-Emission Tomography Pattern Recognition, Automated Image Enhancement Humans Sensitivity and Specificity Magnetic Resonance Imaging Multimodal Imaging Algorithms Reproducibility of Results
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Prediction of brain maturity in infants using machine-learning algorithms.

NeuroImage May 11, 2016
Recent resting-state functional MRI investigations have demonstrated that much of the large-scale functional network architecture supporting motor, sensory and cognitive functions in older pediatric and adult populations is present in term- and prema...
Female Infant, Newborn Reproducibility of Results Sensitivity and Specificity Male Humans Algorithms Brain Prognosis Gestational Age Image Interpretation, Computer-Assisted Pattern Recognition, Automated Infant, Premature Image Enhancement Support Vector Machine Magnetic Resonance Imaging Regression Analysis Brain Mapping
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Feature-Linking Model for Image Enhancement.

Neural computation Mar 4, 2016
Inspired by gamma-band oscillations and other neurobiological discoveries, neural networks research shifts the emphasis toward temporal coding, which uses explicit times at which spikes occur as an essential dimension in neural representations. We pr...
Image Enhancement Humans Nerve Net Neural Networks, Computer Gamma Rhythm Neuronal Plasticity Models, Neurological
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Evaluation of Underlying Lymphocytic Thyroiditis With Histogram Analysis Using Grayscale Ultrasound Images.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Feb 17, 2016
OBJECTIVES: The purpose of this study was to evaluate diagnostic performance of histogram analysis using grayscale ultrasound (US) images in the diagnosis of lymphocytic thyroiditis.
Aged, 80 and over Young Adult Adult Sensitivity and Specificity Adolescent Ultrasonography Data Interpretation, Statistical Male Middle Aged Algorithms Female Reproducibility of Results Aged Image Interpretation, Computer-Assisted Humans Observer Variation Machine Learning Image Enhancement Thyroiditis, Autoimmune
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A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI.

Medical image analysis Feb 6, 2016
Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI) datasets is an essential step for calculation of clinical indices such as ventricular volume and ejection fraction. In this work, we employ deep learning algorithms...
Humans Ventricular Dysfunction, Left Machine Learning Image Interpretation, Computer-Assisted Subtraction Technique Computer Simulation Algorithms Pattern Recognition, Automated Magnetic Resonance Imaging, Cine Image Enhancement Reproducibility of Results Models, Cardiovascular Sensitivity and Specificity Heart Ventricles
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Noise reduction of diffusion tensor images by sparse representation and dictionary learning.

Biomedical engineering online Jan 13, 2016
BACKGROUND: The low quality of diffusion tensor image (DTI) could affect the accuracy of oncology diagnosis.
Diffusion Tensor Imaging Imaging, Three-Dimensional Machine Learning Image Enhancement Brain Humans Signal-To-Noise Ratio Animals Haplorhini
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