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» A Novel Breast Tissue Density Classification Methodology
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MICCAI
2005
Springer
14 years 6 months ago
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker,...
IDA
2010
Springer
13 years 4 months ago
Fuzzy-rough approaches for mammographic risk analysis
The accuracy of methods for the assessment of mammographic risk analysis is heavily related to breast tissue characteristics. Previous work has demonstrated considerable success i...
Neil MacParthalain, Richard Jensen, Qiang Shen, Re...
CEC
2010
IEEE
13 years 6 months ago
A novel framework to elucidate core classes in a dataset
In this paper we present an original framework to extract representative groups from a dataset, and we validate it over a novel case study. The framework specifies the application ...
Daniele Soria, Jonathan M. Garibaldi
ICCV
2009
IEEE
13 years 3 months ago
Component analysis approach to estimation of tissue intensity distributions of 3D images
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
Arridhana Ciptadi, Cheng Chen, Vitali Zagorodnov
MIAR
2006
IEEE
13 years 11 months ago
Multi-scale Voxel-Based Morphometry Via Weighted Spherical Harmonic Representation
Although the voxel-based morphometry (VBM) has been widely used in quantifying the amount of gray matter of the human brain, the optimal amount of registration that should be used ...
Moo K. Chung, Li Shen, Kim M. Dalton, Richard J. D...