Active shape model with inter-profile modeling paradigm for cardiac right ventricle segmentation

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

Volumn 7510 LNCS, Issue , 2012, Pages 691-698

  ElBaz, Mohammed S ^a,b   Fahmy, Ahmed S ^a,c  

^a NILE UNIVERSITY   (Egypt)

^b LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^c CAIRO UNIVERSITY   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; PRINCIPAL COMPONENT ANALYSIS;

2D PRINCIPAL COMPONENT ANALYSIS; ACTIVE SHAPE MODEL; ACTIVE SHAPE MODELS; CARDIAC MAGNETIC RESONANCE IMAGES; MODELING PARADIGMS; SEARCHING ALGORITHMS; SEGMENTATION ERROR; STATISTICAL SIGNIFICANCE;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; DIAGNOSTIC IMAGING; HEART; HEART VENTRICLE; HUMAN; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; DIAGNOSTIC IMAGING; HEART; HEART VENTRICLES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE IMAGING, CINE; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SOFTWARE;

MLCS; MLOWN;

EID: 84872529005     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33415-3_85     Document Type: Conference Paper

References (14)

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