Tumour grading from magnetic resonance spectroscopy: A comparison of feature extraction with variable selection

Statistics in Medicine

Volumn 22, Issue 1, 2003, Pages 147-164

  Huang, Y ^a   Lisboa, P J G ^a   El Deredy, W ^a  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

Brain tumours; Independent components; Magnetic resonance; Model selection; Spectroscopy

Indexed keywords

ARTICLE; ASTROCYTOMA; BAYES THEOREM; BRAIN TUMOR; CANCER GRADING; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; EXPERIMENTAL DESIGN; GLIOBLASTOMA; GLIOMA; HUMAN; IN VIVO STUDY; INTERMETHOD COMPARISON; METHODOLOGY; MULTIVARIATE ANALYSIS; NON INVASIVE MEASUREMENT; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; RETROSPECTIVE STUDY; SIGNAL NOISE RATIO;

ASTROCYTOMA; BAYES THEOREM; BRAIN NEOPLASMS; DATA INTERPRETATION, STATISTICAL; GLIOMA; HUMANS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; NUCLEAR MAGNETIC RESONANCE, BIOMOLECULAR; RETROSPECTIVE STUDIES;

EID: 0037438563     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1321     Document Type: Article

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