Learning similarity measure for multi-modal 3D image registration

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 186-193

  Lee, Daewon ^a   Hofmann, Matthias ^a,b   Steinke, Florian ^a,c   Altun, Yasemin ^a   Cahill, Nathan D ^b,d   Schölkopf, Bernhard ^a  

^a Max Planck Institute   (Germany)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c SIEMENS AG   (Germany)

^d CARESTREAM HEALTH INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; COMPUTERIZED TOMOGRAPHY; IMAGE REGISTRATION;

3D IMAGE REGISTRATION; EMPIRICAL EVALUATIONS; IDENTICAL STRUCTURES; MULTIMODAL IMAGE REGISTRATION; REGISTRATION ALGORITHMS; REGISTRATION PROBLEMS; SIMILARITY CRITERIA; STATE-OF-THE-ART METHODS;

MEDICAL IMAGING;

EID: 70450207228     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206840     Document Type: Conference Paper

References (13)

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