Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans

Artificial Intelligence in Medicine

Volumn 46, Issue 1, 2009, Pages 81-95

  Scherrer, Benoit ^a,b,c   Dojat, Michel ^a,c   Forbes, Florence ^c,d   Garbay, Catherine ^b,c  

^a INSERM   (France)

^b CNRS   (France)

^c UNIV GRENOBLE ALPES   (France)

^d UNIV GRENOBLE ALPES   (France)

Author keywords

Distributed expectation maximization; Magnetic resonance brain scan segmentation; Markov random field; Medical imaging; Multiagents system

Indexed keywords

MAGNETIC RESONANCE; MAGNETISM; MARKOV PROCESSES; MAXIMUM PRINCIPLE; MEDICAL IMAGING; MULTI AGENT SYSTEMS; STRUCTURAL FRAMES;

BRAIN SCAN; EXPECTATION - MAXIMIZATIONS; EXPECTATION MAXIMIZATION; MARKOV RANDOM FIELD MODELS; MARKOV RANDOM FIELDS; MULTI-AGENTS SYSTEMS; MULTIAGENT FRAMEWORK; SUBCORTICAL STRUCTURES;

IMAGE SEGMENTATION;

ARTICLE; BRAIN SCINTISCANNING; DIAGNOSTIC IMAGING; EVALUATION; IMAGE DISPLAY; IMAGE QUALITY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PARAMETER; PRIORITY JOURNAL; PROBABILITY;

EID: 64549096839     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2008.08.012     Document Type: Article

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