A shape-driven MRF model for the segmentation of organs in medical images

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2010, Pages 3233-3240

  Chittajallu, D R ^a   Shah, S K ^a   Kakadiaris, I A ^a  

^a UNIVERSITY OF HOUSTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIQUE POTENTIAL; COMPUTED TOMOGRAPHY; GIBBS ENERGY FUNCTIONS; HEART SEGMENTATION; IMAGE INFORMATION; MARKOV RANDOM FIELD MODELS; MARKOV RANDOM FIELDS; MAXIMUM A POSTERIORI ESTIMATION; MEDICAL IMAGES; SECOND ORDERS; SHAPE CONSTRAINTS; SHAPE TEMPLATES; TEMPLATE-BASED;

COMPUTER VISION; COMPUTERIZED TOMOGRAPHY; GIBBS FREE ENERGY; MEDICAL IMAGING; OPTIMIZATION;

IMAGE SEGMENTATION;

EID: 77955991163     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540066     Document Type: Conference Paper

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