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» Detection of Masses in Mammograms Using Texture Features
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ICIP
2005
IEEE
14 years 10 months ago
Automatic classification of breast density
A recent trend in digital mammography are Computer-Aided Diagnosis systems, which are computerised tools designed to assist radiologists. Most of these systems are used for the au...
Arnau Oliver, Jordi Freixenet, Reyer Zwiggelaar
BILDMED
2008
174views Algorithms» more  BILDMED 2008»
13 years 10 months ago
Detection of Focal Cortical Dysplasia Lesions in MRI Using Textural Features
Abstract. Focal cortical dysplasia (FCD) is a frequent cause of medically refractory partial epilepsy. The visual identification of FCD lesions on magnetic resonance images (MRI) i...
Christian Loyek, Friedrich G. Woermann, Tim W. Nat...
IBPRIA
2007
Springer
14 years 2 months ago
False Positive Reduction in Breast Mass Detection Using Two-Dimensional PCA
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...
Arnau Oliver, Xavier Lladó, Joan Mart&iacut...
ISBI
2002
IEEE
14 years 9 months ago
Learning multispectral texture features for cervical cancer detection
We present a bottom-up approach for automatic cancer cell detection in multispectral microscopic thin Pap smear images. Around 4,000 multispectral texture features are explored fo...
Yanxi Liu, Tong Zhao, Jiayong Zhang
CVPR
1998
IEEE
14 years 10 months ago
Texture Recognition Using a Non-Parametric Multi-Scale Statistical Model
We describe a technique for using the joint occurrence of local features at multiple resolutions to measure the similarity between texture images. Though superficially similar to ...
Jeremy S. De Bonet, Paul A. Viola