Organ segmentation from 3D abdominal CT images based on atlas selection and graph cut

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

Volumn 7029 LNCS, Issue , 2012, Pages 181-188

  Oda, Masahiro ^a   Nakaoka, Teruhisa ^a   Kitasaka, Takayuki ^b   Furukawa, Kazuhiro ^c   Misawa, Kazunari ^d   Fujiwara, Michitaka ^c   Mori, Kensaku ^a  

^a NAGOYA UNIVERSITY   (Japan)

^b AICHI INSTITUTE OF TECHNOLOGY   (Japan)

^c NAGOYA UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

^d AICHI CANCER CENTER HOSPITAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ABDOMINAL ORGANS; AVERAGE IMAGE; CT IMAGE; EXTRACTION ACCURACY; GRAPH CUT; IMAGE SIMILARITY; INPUT IMAGE; MAP ESTIMATION; MULTIPLE CLUSTERS; ORGAN SEGMENTATION; PRECISION RATES; TRAINING SAMPLE;

COMPUTERIZED TOMOGRAPHY; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAPS;

THREE DIMENSIONAL;

EID: 84858312049     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-28557-8_23     Document Type: Conference Paper

References (10)

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