Bayesian segmentation of magnetic resonance images using the α-stable distribution

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6678 LNAI, Issue PART 1, 2011, Pages 99-106

  Salas Gonzalez, Diego ^a   Schlögl, Matthias ^a   Górriz, Juan M ^a   Ramírez, Javier ^a   Lang, Elmar ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF REGENSBURG   (Germany)

Author keywords

Image Segmentation; Magnetic Resonance Imaging; Mixture Model; Stable Distribution

Indexed keywords

DATA REDUCTION; INTELLIGENT SYSTEMS; MAGNETIC RESONANCE IMAGING; MAGNETISM; MIXTURES; RESONANCE; ARTIFICIAL INTELLIGENCE;

ALPHA-STABLE DISTRIBUTION; BAYESIAN SEGMENTATION; MAGNETIC RESONANCE IMAGES (MRI); METROPOLIS-HASTINGS ALGORITHM; MIXTURE MODEL; SEGMENTATION RESULTS; STABLE DISTRIBUTIONS; TISSUE PROBABILITY MAPS;

IMAGE SEGMENTATION;

EID: 85038035498     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21219-2_14     Document Type: Conference Paper

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