Frequency selection for the diagnostic characterization of human brain tumours

Frontiers in Artificial Intelligence and Applications

Volumn 202, Issue 1, 2009, Pages 391-398

  Arizmendi, Carlos ^a   Vellido, Alfredo ^a   Romero, Enrique ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

Artificial Neural Networks; Brain Tumour; Magnetic Resonance Spectroscopy; Moving Window

Indexed keywords

BRAIN; CLASSIFICATION (OF INFORMATION); DIAGNOSIS; MAGNETIC RESONANCE; MAGNETIC RESONANCE SPECTROSCOPY; PATTERN RECOGNITION; TUMORS;

BRAIN TUMORS; CLINICAL TASKS; FREQUENCY SELECTION; HIGH DIMENSIONALITY; HUMAN BRAIN TUMORS; METABOLIC INFORMATION; MOVING WINDOW; NONINVASIVE TECHNIQUE; PATTERN RECOGNITIONS TECHNIQUES; TUMOUR TISSUE;

NEURAL NETWORKS;

EID: 72749087312     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-60750-061-2-391     Document Type: Conference Paper

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