Fast globally optimal segmentation of 3D prostate MRI with axial symmetry prior

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

Volumn 8150 LNCS, Issue PART 2, 2013, Pages 198-205

  Qiu, Wu ^a   Yuan, Jing ^a   Ukwatta, Eranga ^a   Sun, Yue ^a   Rajchl, Martin ^a   Fenster, Aaron ^a  

^a ROBARTS RESEARCH INSTITUTE   (Canada)

Author keywords

axial symmetry; convex optimization; Prostate MRI segmentation

Indexed keywords

AXIAL SYMMETRY; COMBINATORIAL OPTIMIZATION PROBLEMS; CONVEX OPTIMIZATION THEORY; CONVEX RELAXATION; MRI SEGMENTATION; OPTIMAL SEGMENTATION; OPTIMIZATION APPROACH; OPTIMIZATION FORMULATIONS;

ALGORITHMS; CONVEX OPTIMIZATION; GLOBAL OPTIMIZATION; IMAGE SEGMENTATION; MAGNETIC RESONANCE; PROGRAM PROCESSORS; RELAXATION PROCESSES; THREE DIMENSIONAL;

UROLOGY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROSTATE TUMOR; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; PATTERN RECOGNITION, AUTOMATED; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84897573605     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40763-5_25     Document Type: Conference Paper

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