Model-based pancreas segmentation in portal venous phase contrast-enhanced CT images

Journal of Digital Imaging

Volumn 26, Issue 6, 2013, Pages 1082-1090

  Hammon, Matthias ^a   Cavallaro, Alexander ^a   Erdt, Marius ^b   Dankerl, Peter ^a   Kirschner, Matthias ^d   Drechsler, Klaus ^c   Wesarg, Stefan ^c   Uder, Michael ^a   Janka, Rolf ^a  

^a UNIVERSITY HOSPITAL ERLANGEN   (Germany)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c FRAUNHOFER IGD   (Germany)

^d DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Computed tomography; Computer assisted detection; Machine learning; Pancreas; Segmentation

Indexed keywords

COMPUTER ASSISTED DETECTION; COMPUTER-AIDED DETECTION; CONTRAST-ENHANCED CT; DISCRIMINATIVE LEARNING; INSTITUTIONAL REVIEW BOARDS; PANCREAS; SPATIAL RELATIONSHIPS; STATISTICAL SHAPE MODEL;

ALGORITHMS; DECISION SUPPORT SYSTEMS; IMAGE SEGMENTATION; LEARNING SYSTEMS; MAMMOGRAPHY; TISSUE;

COMPUTERIZED TOMOGRAPHY;

CONTRAST MEDIUM; DIAGNOSTIC AGENT;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; EVALUATION STUDY; FEMALE; GERMANY; HUMAN; IMAGE QUALITY; MALE; METHODOLOGY; PANCREAS; PORTAL VEIN; RADIOGRAPHY; SENSITIVITY AND SPECIFICITY; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CONTRAST MEDIA; FEMALE; GERMANY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MODELS, THEORETICAL; PANCREAS; PATTERN RECOGNITION, AUTOMATED; PORTAL VEIN; RADIOGRAPHIC IMAGE ENHANCEMENT; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84888156733     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-013-9586-7     Document Type: Article

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