Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors

Neurocomputing

Volumn 73, Issue 4-6, 2010, Pages 622-632

  González Navarro, Félix F ^a   Belanche Muñoz, Lluís A ^a   Romero, Enrique ^a   Vellido, Alfredo ^a   Julià Sapé, Margarida ^b,c   Arús, Carles ^b,c  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

^c Unitat de Biociències ^*  (Spain)

Author keywords

Brain tumors; Data visualization; Feature selection; Medical decision support systems; Proton magnetic resonance spectroscopy

Indexed keywords

ATTRACTIVE SOLUTIONS; BOOTSTRAP RE-SAMPLING TECHNIQUES; BRAIN TUMORS; CLASSIFICATION PERFORMANCE; COMBINED INFORMATIONS; DIMENSIONALITY REDUCTION TECHNIQUES; ECHO TIME; FEATURE SELECTION; FEATURE SELECTION METHODS; HIGH DIMENSIONALITY; HUMAN BRAIN TUMORS; LINEAR DIMENSIONALITY; MACHINE-LEARNING; MEDICAL DECISION SUPPORT SYSTEM; MEDICAL SETTINGS; MODEL SELECTION; MULTIDISCIPLINARY PROBLEMS; NONINVASIVE TECHNIQUE; PREDICTION ACCURACY; PROTON MAGNETIC RESONANCE SPECTROSCOPIES; REDUCTION TECHNIQUES; SPECTRAL FREQUENCY;

ARTIFICIAL INTELLIGENCE; BRAIN; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; ONCOLOGY; PARTICLE DETECTORS; PROTONS; RESONANCE; SPECTROSCOPY; TUMORS; VISUALIZATION;

DATA VISUALIZATION;

ACCURACY; ALGORITHM; ANALYTIC METHOD; ARTICLE; BOOTSTRAPPING; BRAIN TUMOR; CLASSIFICATION; CONTROLLED STUDY; DECISION SUPPORT SYSTEM; FREQUENCY ANALYSIS; HUMAN; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; PREDICTION; PRIORITY JOURNAL; PROTON NUCLEAR MAGNETIC RESONANCE;

EID: 75749090307     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.07.018     Document Type: Article

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