A path algorithm for the support vector domain description and its application to medical imaging

Medical Image Analysis

Volumn 11, Issue 5, 2007, Pages 417-428

  Sjöstrand, Karl ^a   Hansen, Michael Sass ^a   Larsson, Henrik B ^b   Larsen, Rasmus ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b GLOSTRUP UNIVERSITY HOSPITAL   (Denmark)

Author keywords

Classification; Corpus callosum; Ischemic segment detection; Myocardial perfusion; Novelty detection; Outlier detection; Path algorithm; Support vector domain description

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; EDGE DETECTION; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; SUPPORT VECTOR MACHINES;

BOUNDARY FUNCTION; OUTLIER DETECTION; PATH ALGORITHM; SUPPORT VECTOR DOMAIN DESCRIPTION;

MEDICAL IMAGING;

ACUTE HEART INFARCTION; ARTICLE; CLINICAL OBSERVATION; CONTROLLED STUDY; CORPUS CALLOSUM; DIAGNOSTIC IMAGING; HEART MUSCLE ISCHEMIA; INFORMATION PROCESSING; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; STATISTICAL PARAMETERS; SUPPORT VECTOR MACHINE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; COMPUTERS; CORPUS CALLOSUM; DIAGNOSTIC IMAGING; HUMANS; MODELS, STATISTICAL; MODELS, THEORETICAL; MYOCARDIAL ISCHEMIA; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; PERFUSION; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 34548389776     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2007.07.008     Document Type: Article

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