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Sparse Projections of Medical Images onto Manifolds
Sparse Projections Medical Images Manifolds
2013/5/2
Manifold learning has been successfully applied to a variety of medical imaging problems. Its use in real-time applications requires fast projection onto the low-dimensional space. To this end, out-of...
Interval edge estimation in SAR images
Bootstrap confidence interval maximum likelihood synthetic aperture radar SAR
2013/4/27
This paper considers edge interval estimation between two regions of a Synthetic Aperture Image which differ in texture. Different point estimation strategies under multiplicative noise are discussed ...
Learning Stable Multilevel Dictionaries for Sparse Representation of Images
Learning Stable Multilevel Dictionaries Sparse Representation Images
2013/4/28
Dictionaries adapted to the data provide superior performance when compared to predefined dictionaries in applications involving sparse representations. Algorithmic stability and generalization are de...
Joint-ViVo: Selecting and Weighting Visual Words Jointly for Bag-of-Features based Tissue Classification in Medical Images
Computer-Aided Diagnosis Tissue Classification Bag-of-Features Visual Vocabulary Visual Word Weighting
2012/9/18
Automatically classifying the tissues types of Region of Interest (ROI) in med-ical imaging has been an important application in Computer-Aided Diagno-sis (CAD), such as classification of breast paren...
A CURE for noisy magnetic resonance images: Chi-square unbiased risk estimation
A CURE noisy magnetic resonance images Chi-square unbiased risk estimation
2011/7/5
In this article we derive an unbiased expression for the expected mean-squared error associated with continuously differentiable estimators of the noncentrality parameter of a chi-square random variab...
Statistical Methods for Analyzing Tissue Microarray Images - Algorithmic Scoring and Co-training
Statistical Methods Analyzing Tissue Microarray Images Algorithmic Scoring Co-training
2011/3/18
Recent advances in tissue microarray technology have allowed immuno-histochemistry to become a powerful medium-to-high throughput analysis tool, particularly for the validation of diagnostic and progn...
Detection of objects in noisy images based on percolation theory
signal detection image re-construction percolation noisy image unknown noise
2011/3/24
We propose a novel statistical method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algorithm that allows to detect object...
Robust nonparametric detection of objects in noisy images
Image analysis signal detection image recon-struction percolation noisy image nonparametric noise robust testing nite sample performance
2011/3/24
We propose a novel statistical hypothesis testing method for detection of objects in noisy images. The method uses results from percolation theory and random graph theory. We present an algorithm that...
Detection of objects in noisy images and site percolation on square lattices
Image analysis signal detection image recon-struction percolation noisy image
2011/3/24
We propose a novel probabilistic method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algorithm that allows to detect obje...