Orientation histograms as shape priors for left ventricle segmentation using graph cuts

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 420-427

  Mahapatra, Dwarikanath ^a   Sun, Ying ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENT DISTRIBUTIONS; EDGE POINT; GRAPH CUT; LEFT VENTRICLES; MAGNETIC RESONANCE IMAGES; ORIENTATION ANGLES; ORIENTATION HISTOGRAMS; PATIENT DATASETS; PERFUSION IMAGES; SHAPE CHANGE; SHAPE PRIORS; SINGLE IMAGES;

GRAPHIC METHODS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; PIXELS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; HEART MUSCLE; HEART VENTRICLE; HUMAN; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; DIAGNOSTIC IMAGING; HEART VENTRICLES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; MODELS, THEORETICAL; MYOCARDIUM; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS;

EID: 80053491301     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_52     Document Type: Conference Paper

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