Semiautomated segmentation of kidney from high-resolution multidetector computed tomography images using a graph-cuts technique

Journal of Computer Assisted Tomography

Volumn 33, Issue 6, 2009, Pages 893-901

  Shim, Hackjoon ^a,c   Chang, Samuel ^b,c   Tao, Cheng ^c   Wang, Jin Hong ^c   Kaya, Diana ^c   Bae, Kyongtae T ^c  

^a Seoul National University   (South Korea)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

CT; Graph cuts; Kidney; Segmentation; Transplant

Indexed keywords

AUTOMATION; IMAGE SEGMENTATION; MULTIDETECTOR COMPUTED TOMOGRAPHY;

COMPUTED TOMOGRAPHY IMAGES; CT; GRAPH-CUT; GRAPH-CUT TECHNIQUES; KIDNEY; REPRODUCIBILITIES; SEGMENTATION; SEGMENTATION METHODS; SEMI-AUTOMATED SEGMENTATION; SIMILARITY COEFFICIENTS;

GRAPHIC METHODS;

ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; GEOMETRY; HIGH RESOLUTION COMPUTER TOMOGRAPHY; HUMAN; KIDNEY; KIDNEY GRAFT; LIVING DONOR; MULTIDETECTOR COMPUTED TOMOGRAPHY; PRIORITY JOURNAL; REPRODUCIBILITY; THREE DIMENSIONAL IMAGING; AUTOMATION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; KIDNEY TRANSPLANTATION; METHODOLOGY; RADIOGRAPHY;

AUTOMATION; HUMANS; KIDNEY; KIDNEY TRANSPLANTATION; LIVING DONORS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 73949112023     PISSN: 03638715     EISSN: None     Source Type: Journal    
DOI: 10.1097/RCT.0b013e3181a5cc16     Document Type: Article

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