Multi-organ segmentation based on spatially-divided probabilistic atlas from 3D abdominal CT images

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

Volumn 8150 LNCS, Issue PART 2, 2013, Pages 165-172

  Chu, Chengwen ^a   Oda, Masahiro ^a   Kitasaka, Takayuki ^b   Misawa, Kazunari ^c   Fujiwara, Michitaka ^d   Hayashi, Yuichiro ^a   Nimura, Yukitaka ^a   Rueckert, Daniel ^e   Mori, Kensaku ^a  

^a NAGOYA UNIVERSITY   (Japan)

^b AICHI INSTITUTE OF TECHNOLOGY   (Japan)

^c AICHI CANCER CENTER HOSPITAL   (Japan)

^d NAGOYA UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

^e IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ABDOMINAL ORGANS; GROUND TRUTH DATA; LOCAL AREAS; LOCAL REGION; MULTI-ORGAN SEGMENTATIONS; PROBABILISTIC ATLAS; SIMILARITY INDICES; WEIGHTING SCHEME;

COMPUTERIZED TOMOGRAPHY;

THREE DIMENSIONAL;

ABDOMINAL RADIOGRAPHY; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; HUMAN; IMAGE QUALITY; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VISCERA;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, ABDOMINAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED; VISCERA;

EID: 84897577322     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40763-5_21     Document Type: Conference Paper

References (13)

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