Hierarchic multi-atlas based segmentation for anatomical structures: Evaluation in the VISCERAL anatomy benchmarks

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

Volumn 8848, Issue , 2014, Pages 189-200

  Jimènez del Toro, Oscar Alfonso ^a   Müller, Henning ^b  

^a UNIVERSITY OF APPLIED SCIENCES WESTERN SWITZERLAND   (Switzerland)

^b GENEVA UNIVERSITY HOSPITALS   (Switzerland)

Author keywords

Image registration; Multi atlas based segmentation; VISCERAL

Indexed keywords

BIG DATA; COMPUTER AIDED ANALYSIS; COMPUTER VISION; IMAGE REGISTRATION; IMAGE SEGMENTATION; MEDICAL IMAGING; NATURAL LANGUAGE PROCESSING SYSTEMS;

ANATOMICAL STRUCTURES; ANATOMICAL VARIABILITY; COMPUTED TOMOGRAPHY SCAN; CONTRAST-ENHANCED CT; IMAGE REGISTRATION TECHNIQUES; MULTI ATLAS-BASED SEGMENTATIONS; SEGMENTATION METHODS; VISCERAL;

COMPUTERIZED TOMOGRAPHY;

EID: 84917728262     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-13972-2_18     Document Type: Conference Paper

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