Abdominal multi-organ CT segmentation using organ correlation graph and prediction-based shape and location priors

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

Volumn 8151 LNCS, Issue PART 3, 2013, Pages 275-282

  Okada, Toshiyuki ^a   Linguraru, Marius George ^b   Hori, Masatoshi ^a   Summers, Ronald M ^c   Tomiyama, Noriyuki ^a   Sato, Yoshinobu ^a  

^a OSAKA UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

^b CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

^c NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

intensity model; partial least squares; shape prediction

Indexed keywords

AUTOMATED SEGMENTATION; INTENSITY INFORMATION; INTENSITY MODELS; MULTI-ORGAN SEGMENTATIONS; PARTIAL LEAST SQUARE (PLS); SHAPE PREDICTION; SPATIAL CORRELATIONS; STATE-OF-THE-ART METHODS;

LEAST SQUARES APPROXIMATIONS; BIOLOGICAL ORGANS; MEDICAL COMPUTING; MEDICAL IMAGING;

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY;

ABDOMINAL RADIOGRAPHY; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER GRAPHICS; COMPUTER INTERFACE; COMPUTER SIMULATION; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; VISCERA;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER GRAPHICS; COMPUTER SIMULATION; HUMANS; MODELS, ANATOMIC; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, ABDOMINAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED; USER-COMPUTER INTERFACE; VISCERA;

EID: 84894639098     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40760-4_35     Document Type: Conference Paper

References (10)

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