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» Segmentation of medical images using a genetic algorithm
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EVOW
2008
Springer
15 years 1 months ago
An Evolutionary Approach for Ontology Driven Image Interpretation
Image mining and interpretation is a quite complex process. In this article, we propose to model expert knowledge on objects present in an image through an ontology. This ontology ...
Germain Forestier, Sébastien Derivaux, C&ea...
ISMDA
2004
Springer
15 years 5 months ago
RF Inhomogeneity Correction Algorithm in Magnetic Resonance Imaging
MR images usually present grey level inhomogeneities which are a problem of significant importance. Eliminating these inhomogeneities is not an easy problem and has been studied a...
Juan Antonio Hernández Tamames, Martha L. M...
IPMI
2009
Springer
16 years 16 days ago
Nonnegative Mixed-Norm Preconditioning for Microscopy Image Segmentation
Abstract. Image segmentation in microscopy, especially in interferencebased optical microscopy modalities, is notoriously challenging due to inherent optical artifacts. We propose ...
Kang Li, Takeo Kanade
CVPR
2008
IEEE
14 years 12 months ago
Globally optimal surface segmentation using regional properties of segmented objects
Efficient segmentation of globally optimal surfaces in volumetric images is a central problem in many medical image analysis applications. Intra-class variance has been successful...
Xin Dou, Xiaodong Wu, Andreas Wahle, Milan Sonka
ISBI
2011
IEEE
14 years 3 months ago
Boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
Omid Kohannim, Derrek P. Hibar, Jason L. Stein, Ne...