Anatomical landmark detection using nearest neighbor matching and submodular optimization

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

Volumn 7512 LNCS, Issue , 2012, Pages 393-401

  Liu, David ^a   Zhou, S Kevin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINED OPTIMIZATION; MEDICAL COMPUTING; MEDICAL IMAGING; TUNNELING (EXCAVATION);

ANATOMICAL LANDMARKS; COMPUTATION COSTS; EFFICIENT DETECTION; LANDMARK LOCATIONS; MULTIPLE DETECTORS; NEAREST NEIGHBOR MATCHING; SUBMODULAR OPTIMIZATIONS; TWO-STAGE METHODS;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ANATOMIC LANDMARK; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANATOMIC LANDMARKS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

MLCS; MLOWN;

EID: 84872920754     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33454-2_49     Document Type: Conference Paper

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