Multi-atlas spectral PatchMatch: Application to cardiac image segmentation

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

Volumn 8673 LNCS, Issue PART 1, 2014, Pages 348-355

  Shi, Wenzhe ^a   Lombaert, Herve ^c   Bai, Wenjia ^a   Ledig, Christian ^a   Zhuang, Xiahai ^b   Marvao, Antonio ^a   Dawes, Timothy ^a   O'Regan, Declan ^a   Rueckert, Daniel ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b SHANGHAI ADVANCED RESEARCH INSTITUTE   (China)

^c INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE; MEDICAL COMPUTING; MEDICAL IMAGING;

ACQUISITION PROTOCOLS; AUTOMATIC SEGMENTATIONS; CARDIAC IMAGE SEGMENTATION; CARDIAC MAGNETIC RESONANCE IMAGES; GRAPH SEARCH METHODS; SPECTRAL EMBEDDING; SPECTRAL REPRESENTATIONS; STATE-OF-THE-ART METHODS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; HEART VENTRICLE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE; SUBTRACTION TECHNIQUE;

EID: 84909589093     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10404-1_44     Document Type: Conference Paper

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