3D automatic anatomy segmentation based on graph cut-oriented active appearance models

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2010, Pages 3653-3656

  Chen, Xinjian ^a   Yao, Jianhua ^a   Zhuge, Ying ^b   Bagci, Ulas ^c  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b NATIONAL CANCER INSTITUTE   (United States)

^c UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Active appearance models; Graph cut; Live wire; Object segmentation

Indexed keywords

ACTIVE APPEARANCE MODELS; FALSE POSITIVE FRACTIONS; GENERAL METHOD; GRAPH CUT; INITIALIZATION STEP; ITERATIVE MODEL; KIDNEY CT; LIVE WIRE; MODEL CONSTRAINTS; MULTIOBJECT; OBJECT DELINEATION; OBJECT INITIALIZATION; OBJECT SEGMENTATION; OBJECT SHAPE; ORGAN SEGMENTATION; SEGMENTATION ACCURACY; SEGMENTATION METHODS; SYNERGISTIC COMBINATIONS; TRUE POSITIVE FRACTIONS;

COMPUTERIZED TOMOGRAPHY; GRAPHIC METHODS; IMAGE SEGMENTATION; IMAGING SYSTEMS; MAMMOGRAPHY; MODEL BUILDINGS; WIRE;

THREE DIMENSIONAL;

EID: 78650129176     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2010.5652101     Document Type: Conference Paper

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