Shape regression machine and efficient segmentation of left ventricle endocardium from 2D B-mode echocardiogram

Medical Image Analysis

Volumn 14, Issue 4, 2010, Pages 563-581

  Zhou, Shaohua Kevin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

Anatomical image context; Deformable shape segmentation; Image based boosting ridge regression (IBRR); Left ventricle endocardium segmentation; Shape regression machine (SRM)

Indexed keywords

ANATOMICAL IMAGES; DEFORMABLE SHAPES; IMAGE-BASED; LEFT VENTRICLES; RIDGE REGRESSION; SHAPE REGRESSION;

ALGORITHMS; DEFORMATION; IMAGE QUALITY; MEDICAL IMAGING; REGRESSION ANALYSIS;

IMAGE SEGMENTATION;

ACCURACY; ARTICLE; AUTOMATION; B SCAN; ENDOCARDIUM; HEART LEFT VENTRICLE; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MACHINE LEARNING; NONLINEAR SYSTEM; PRIORITY JOURNAL; RIGIDITY; SHAPE REGRESSION MACHINE; VOXEL BASED MORPHOMETRY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ECHOCARDIOGRAPHY; ENDOCARDIUM; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77955564184     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2010.04.002     Document Type: Article

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