Segmentation of the left ventricle using distance regularized two-layer level set approach

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

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 477-484

  Feng, Chaolu ^a,b   Li, Chunming ^b   Zhao, Dazhe ^a   Davatzikos, Christos ^b   Litt, Harold ^b  

^a NORTHEASTERN UNIVERSITY   (China)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMICAL GEOMETRY; CARDIAC MAGNETIC RESONANCE; CLUSTERING PROPERTIES; DISTANCE REGULARIZATIONS; LEFT VENTRICULAR; LEVEL SET APPROACH; LEVEL SET FUNCTIONS; SEGMENTATION ACCURACY;

HEART; MAGNETIC RESONANCE; NUMERICAL METHODS; SET THEORY;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HEART LEFT VENTRICLE FUNCTION; HEART VENTRICLE; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING, CINE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; VENTRICULAR DYSFUNCTION, LEFT;

EID: 84894617315     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_60     Document Type: Conference Paper

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