Sparse shape composition: A new framework for shape prior modeling

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

Volumn , Issue , 2011, Pages 1025-1032

  Zhang, Shaoting ^a,b   Zhan, Yiqiang ^a   Dewan, Maneesh ^a   Huang, Junzhou ^b   Metaxas, Dimitris N ^b   Zhou, Xiang Sean ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONVEX OPTIMIZATION; ERRORS; IMAGE SEGMENTATION; MEDICAL APPLICATIONS; MEDICAL IMAGING; PATTERN RECOGNITION; PROBABILITY DISTRIBUTIONS;

ALTERNATING MINIMIZATION; COMPOSITION MODEL; CONVEX OPTIMIZATION PROBLEMS; LINEAR COMBINATIONS; LIVER SEGMENTATION; PRIORI INFORMATION; STATE-OF-THE-ART METHODS; UNIFIED FRAMEWORK;

COMPUTERIZED TOMOGRAPHY;

EID: 80052886644     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995322     Document Type: Conference Paper

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