Support vector machine ensembles for breast cancer type prediction from mid-FTIR micro-calcification spectra

Chemometrics and Intelligent Laboratory Systems

Volumn 107, Issue 2, 2011, Pages 363-370

  Sattlecker, Martina ^a   Baker, Rebecca ^b   Stone, Nick ^b   Bessant, Conrad ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

^b GLOUCESTERSHIRE ROYAL HOSPITAL   (United Kingdom)

Author keywords

Breast cancer; Ensemble classifiers; FTIR spectroscopy; Micro calcifications; Support vector machines

Indexed keywords

ARTICLE; BAYESIAN LEARNING; BREAST CALCIFICATION; BREAST CANCER; CANCER STAGING; CLASSIFICATION ALGORITHM; CLASSIFIER; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; HUMAN; HUMAN TISSUE; INFRARED SPECTROSCOPY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

EID: 79959799365     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2011.05.007     Document Type: Article

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