Image segmentation based on the integration of markov random fields and deformable models

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

Volumn 1935, Issue , 2000, Pages 256-265

  Chen, Ting ^a   Metaxas, Dimitris ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DEFORMATION; INTEGRATION; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING; MARKOV PROCESSES; MEDICAL COMPUTING; MEDICAL IMAGING; SIGNAL TO NOISE RATIO;

AUTOMATED SEGMENTATION; DEFORMABLE MODELING; GRADIENT THRESHOLDS; LOW SIGNAL-TO-NOISE RATIO; MARKOV RANDOM FIELD MODEL; MARKOV RANDOM FIELD THEORY; MARKOV RANDOM FIELDS; METHOD OF INTEGRATION;

IMAGE SEGMENTATION;

EID: 84945538840     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-40899-4_26     Document Type: Conference Paper

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