AIMC Topic: Image Enhancement

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Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement.

Journal of digital imaging Aug 1, 2017
Breast cancer is the most prevalent malignancy in the US and the third highest cause of cancer-related mortality worldwide. Regular mammography screening has been attributed with doubling the rate of early cancer detection over the past three decades...
Humans Neural Networks, Computer Breast Neoplasms Mammography Datasets as Topic Image Enhancement Algorithms Female Sensitivity and Specificity
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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, ...
Normal Distribution Magnetic Resonance Imaging Image Enhancement Signal-To-Noise Ratio Neural Networks, Computer Humans Algorithms
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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 Humans Image Enhancement 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...
Dermoscopy Reproducibility of Results Sensitivity and Specificity Machine Learning Algorithms Burns Image Interpretation, Computer-Assisted Artifacts Animals Subtraction Technique Spectrum Analysis Swine Pattern Recognition, Automated Skin Image Enhancement Optical Imaging
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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...
Subtraction Technique Algorithms Reproducibility of Results Sensitivity and Specificity Pattern Recognition, Automated Image Enhancement Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Machine Learning
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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 Imaging, Three-Dimensional Thymus Gland Pregnancy Humans Organ Size Female Image Interpretation, Computer-Assisted Machine Learning Ultrasonography, Prenatal Reproducibility of Results Algorithms Sensitivity and Specificity User-Computer Interface Male
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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
Reproducibility of Results Sensitivity and Specificity Machine Learning Algorithms Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement
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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...
Aged Algorithms Image Interpretation, Computer-Assisted Humans Female Ultrasonography Adult Pattern Recognition, Automated Neural Networks, Computer Reproducibility of Results Male Liver Neoplasms Image Enhancement Sensitivity and Specificity Machine Learning Middle Aged
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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 Algorithms Reproducibility of Results Image Enhancement Subtraction Technique Sensitivity and Specificity 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 Breast Neoplasms Magnetic Resonance Imaging Algorithms Humans Female Machine Learning Reproducibility of Results
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