A learning framework for the automatic and accurate segmentation of cardiac tagged MRI images

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

Volumn 3765 LNCS, Issue , 2005, Pages 93-102

  Qian, Zhen ^a   Metaxas, Dimitris N ^a   Axel, Leon ^b  

^a Rutgers University School of Medicine   (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY CONDITIONS; HUMAN COMPUTER INTERACTION; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; RELIABILITY;

ADABOOST DETECTION TECHNIQUE; CARDIAC TAGGED MRI IMAGES; HEART SHAPE VARIATIONS;

LEARNING SYSTEMS;

EID: 33646710829     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11569541_11     Document Type: Conference Paper

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