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Image Enhancement

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Teaching learning based optimization-functional link artificial neural network filter for mixed noise reduction from magnetic resonance image.

Bio-medical materials and engineering Jan 1, 2017
BACKGROUND: The clinical magnetic resonance imaging (MRI) images may get corrupted due to the presence of the mixture of different types of noises such as Rician, Gaussian, impulse, etc. Most of the available filtering algorithms are noise specific, ...
Humans Neural Networks, Computer Algorithms Magnetic Resonance Imaging Image Enhancement Signal-To-Noise Ratio Normal Distribution
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[Segmentation, Classification, and High Resolution of Image by Machine Learning].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics Jan 1, 2016
Computer Simulation Aging Face Image Enhancement Humans Machine Learning
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Outlier detection and removal improves accuracy of machine learning approach to multispectral burn diagnostic imaging.

Journal of biomedical optics Dec 1, 2015
Multispectral imaging (MSI) was implemented to develop a burn tissue classification device to assist burn surgeons in planning and performing debridement surgery. To build a classification model via machine learning, training data accurately represen...
Machine Learning Algorithms Subtraction Technique Burns Dermoscopy Image Enhancement Spectrum Analysis Animals Image Interpretation, Computer-Assisted Reproducibility of Results Optical Imaging Pattern Recognition, Automated Swine Sensitivity and Specificity Artifacts Skin
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Cramér-Rao lower bound calculations for image registration using simulated phenomenology.

Journal of the Optical Society of America. A, Optics, image science, and vision Aug 1, 2015
The Cramér-Rao lower bound (CRLB) is a valuable tool to quantify fundamental limits to estimation problems associated with imaging systems, and has been used previously to study image registration performance bounds. Most existing work, however, assu...
Algorithms Reproducibility of Results Sensitivity and Specificity Machine Learning Image Enhancement Subtraction Technique Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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Fetal thymus volume estimation by virtual organ computer-aided analysis in normal pregnancies.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine May 1, 2015
OBJECTIVES: The thymus has a pyramidal shape, which is best shown in coronal planes. The aim of this study was to evaluate the potential of virtual organ computer-aided analysis to estimate fetal thymus volume in normal pregnancies.
Image Enhancement Thymus Gland Sensitivity and Specificity Male Ultrasonography, Prenatal Pregnancy Organ Size Female Humans Image Interpretation, Computer-Assisted User-Computer Interface Reproducibility of Results Machine Learning Imaging, Three-Dimensional Algorithms
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Machine learning in medical imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 1, 2015
Machine Learning Algorithms Pattern Recognition, Automated Reproducibility of Results Sensitivity and Specificity Image Enhancement Image Interpretation, Computer-Assisted
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Classification of focal liver lesions on ultrasound images by extracting hybrid textural features and using an artificial neural network.

Bio-medical materials and engineering Jan 1, 2015
This paper focuses on the improvement of the diagnostic accuracy of focal liver lesions by quantifying the key features of cysts, hemangiomas, and malignant lesions on ultrasound images. The focal liver lesions were divided into 29 cysts, 37 hemangio...
Image Interpretation, Computer-Assisted Aged Humans Algorithms Ultrasonography Male Pattern Recognition, Automated Female Image Enhancement Reproducibility of Results Liver Neoplasms Middle Aged Neural Networks, Computer Machine Learning Adult Sensitivity and Specificity
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Automatic segmentation in image stacks based on multi-constraint level-set evolution.

Bio-medical materials and engineering Jan 1, 2015
Contour extraction of image stacks is a basic task in medical modeling. The existing level-set methods usually suffer from some problems (e.g. serious errors around sharp features, incorrect split of topology and contour occlusions). This paper propo...
Machine Learning Image Enhancement Sensitivity and Specificity Algorithms Subtraction Technique Reproducibility of Results Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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Image manifold revealing for breast lesion segmentation in DCE-MRI.

Bio-medical materials and engineering Jan 1, 2015
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used for breast lesion differentiation. Manual segmentation in DCE-MRI is difficult and open to viewer interpretation. In this paper, an automatic segmentation method based on i...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Sensitivity and Specificity Humans Breast Neoplasms Machine Learning Magnetic Resonance Imaging Algorithms Female Reproducibility of Results
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Automatic brain MR image denoising based on texture feature-based artificial neural networks.

Bio-medical materials and engineering Jan 1, 2015
Noise is one of the main sources of quality deterioration not only for visual inspection but also in computerized processing in brain magnetic resonance (MR) image analysis such as tissue classification, segmentation and registration. Accordingly, no...
Brain Reproducibility of Results Humans Neural Networks, Computer Artifacts Sensitivity and Specificity Image Enhancement Pattern Recognition, Automated Magnetic Resonance Imaging Signal-To-Noise Ratio Image Interpretation, Computer-Assisted
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