Iterative multilevel MRF leveraging context and voxel information for brain tumour segmentation in MRI

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

Volumn , Issue , 2014, Pages 400-405

  Subbanna, Nagesh ^a   Precup, Doina ^a   Arbel, Tal ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; IMAGE SEGMENTATION; ITERATIVE METHODS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MAGNETORHEOLOGICAL FLUIDS; MARKOV PROCESSES; PATTERN RECOGNITION; STRUCTURAL FRAMES; TEXTURES;

FULLY AUTOMATED; GABOR TEXTURE FEATURES; LOCAL REFINEMENT; MARKOV RANDOM FIELDS; PROBABILISTIC FRAMEWORK; REGIONAL INFORMATION; SPATIAL CONSISTENCY; TEXTURE INFORMATION;

TUMORS;

EID: 84911383253     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.58     Document Type: Conference Paper

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