Automatic multi-organ segmentation using learning-based segmentation and level set optimization

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 338-345

  Kohlberger, Timo ^a   Sofka, Michal ^a   Zhang, Jingdan ^a   Birkbeck, Neil ^a   Wetzl, Jens ^a   Kaftan, Jens ^b   Declerck, Jérôme ^b   Zhou, S Kevin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b Caernarfon   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANNOTATED DATASETS; LEARNING-BASED APPROACH; LEARNING-BASED SEGMENTATION; LEVEL SET; LEVEL SET APPROACH; LEVEL SET SEGMENTATION; MEDICAL IMAGES; POINT CORRESPONDENCE; SEGMENTATION ACCURACY; SEGMENTATION SYSTEM; SHAPE REPRESENTATION; SURFACE ERROR;

COMPUTER AIDED INSTRUCTION; COMPUTERIZED TOMOGRAPHY; MEDICAL COMPUTING; MEDICAL IMAGING; OPTIMIZATION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; FACTUAL DATABASE; HUMAN; KIDNEY; LEARNING; LIVER; LUNG; METHODOLOGY; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATABASES, FACTUAL; HUMANS; IMAGING, THREE-DIMENSIONAL; KIDNEY; LEARNING; LIVER; LUNG; MODELS, ANATOMIC; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SOFTWARE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 80053462847     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_42     Document Type: Conference Paper

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