The effect of combining two echo times in automatic brain tumor classification by MRS

NMR in Biomedicine

Volumn 21, Issue 10, 2008, Pages 1112-1125

  García Gómez, Juan M ^a   Tortajada, Salvador ^a   Vidal, César ^a   Julià Sape, Margarida ^b,e   Luts, Jan ^c   Moreno Torres, Angel ^d   Van Huffel, Sabine ^c   Arús, Carles ^b,e   Robles, Montserrat ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

^c UNIVERSITY OF LEUVEN   (Belgium)

^d Centre Diagnostic Pedralbes   (Spain)

^e UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

1H MRS; Brain; Cancer; Decision support systems; Long TE; Pattern recognition; Short TE

Indexed keywords

1H MRS; BRAIN TUMOR CLASSIFICATIONS; CANCER; LEAST SQUARES SUPPORT VECTOR MACHINES; LINEAR DISCRIMINANT ANALYSIS; PRINCIPAL COMPONENTS ANALYSIS; SHORT TE; SIGNIFICANT DIFFERENCES;

ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MODELS; DECISION SUPPORT SYSTEMS; PATTERN RECOGNITION; PRESSES (MACHINE TOOLS); PRINCIPAL COMPONENT ANALYSIS; TUMORS;

CLASSIFICATION (OF INFORMATION);

DIAGNOSTIC AGENT; PROTON; TUMOR MARKER;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN TUMOR; COMPUTER ASSISTED DIAGNOSIS; HUMAN; METABOLISM; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; MAGNETIC RESONANCE SPECTROSCOPY; PATTERN RECOGNITION, AUTOMATED; PROTONS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TUMOR MARKERS, BIOLOGICAL;

EID: 59849101175     PISSN: 09523480     EISSN: 10991492     Source Type: Journal    
DOI: 10.1002/nbm.1288     Document Type: Article

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