Enhanced spatial priors for segmentation of magnetic resonance imagery

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

Volumn 1496, Issue , 1998, Pages 457-468

  Kapur, Tina ^a   Grimson, W Eric L ^a   Kikinis, Ron ^b   Wells, William M ^a,b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MAGNETORHEOLOGICAL FLUIDS; MARKOV PROCESSES; MAXIMUM PRINCIPLE; MEAN FIELD THEORY; MEDICAL COMPUTING; MEDICAL IMAGING;

BAYESIAN CLASSIFICATION; BAYESIAN CLASSIFIER; EXPECTATION-MAXIMIZATION ALGORITHMS; MARKOV RANDOM FIELD MODEL; MEAN-FIELD SOLUTION; MODEL-BASED METHOD; RELATIVE GEOMETRY; SALT-AND-PEPPER NOISE;

IMAGE ENHANCEMENT;

EID: 84947764767     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0056231     Document Type: Conference Paper

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