Feature selection in pathology detection using hybrid multidimensional analysis

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 5503-5506

  Castellanos, G ^a   Delgado, E ^a   Daza, G ^a   Sanchez L G ^a   Suarez J F ^a  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PERFORMANCE; FEATURE SELECTION METHOD; MULTIVARIATE ANALYSIS;

ANALYSIS OF VARIANCE (ANOVA); COST FUNCTIONS; FEATURE EXTRACTION; HEURISTIC ALGORITHMS; PRINCIPAL COMPONENT ANALYSIS;

PATHOLOGY;

ALGORITHM; ANALYSIS OF VARIANCE; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BIOLOGY; CLEFT LIP; CLEFT PALATE; EQUIPMENT; HUMAN; METHODOLOGY; MULTIVARIATE ANALYSIS; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; ANALYSIS OF VARIANCE; ARTIFICIAL INTELLIGENCE; CLEFT LIP; CLEFT PALATE; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; HUMANS; MODELS, STATISTICAL; MODELS, THEORETICAL; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); PATHOLOGY; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS;

EID: 34047157622     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260740     Document Type: Conference Paper

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