Comparison of redundancy and relevance measures for feature selection in tissue classification of CT images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6171 LNAI, Issue , 2010, Pages 248-262

  Auffarth, Benjamin ^a   López, Maite ^b   Cerquides, Jesús ^b  

^a INSTITUTE FOR BIOENGINEERING OF CATALONIA IBEC   (Spain)

^b UNIVERSITY OF BARCELONA   (Spain)

Author keywords

distributional similarity; divergence measure; feature selection; relevance and redundancy

Indexed keywords

CT IMAGE; DIVERGENCE MEASURE; DIVERGENCE MEASURES; FEATURE SELECTION; JENSEN-SHANNON DIVERGENCE; KOLMOGOROV-SMIRNOV TEST; MEASUREMENT INTERVAL; REDUNDANT FEATURES; RELEVANCE MEASURE; RELEVANCE SCORE; SPEARMAN CORRELATION; TARGET VECTORS; TISSUE CLASSIFICATION; VALUE DIFFERENCE METRIC;

COMPUTERIZED TOMOGRAPHY; DATA MINING; QUALITY ASSURANCE; REDUNDANCY; TESTING;

FEATURE EXTRACTION;

EID: 77954875021     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14400-4_20     Document Type: Conference Paper

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