A random forest based approach for one class classification in medical imaging

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7588 LNCS, Issue , 2012, Pages 250-257

  Désir, Chesner ^a   Bernard, Simon ^b   Petitjean, Caroline ^a   Heutte, Laurent ^a  

^a UNIVERSITÉ DE ROUEN   (France)

^b UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

decision trees; ensemble methods; medical image classification; One class classification; random forests

Indexed keywords

ENSEMBLE LEARNING; ENSEMBLE METHODS; GENERATION METHOD; KEY PROCESS; LEARNING PARADIGMS; MEDICAL DATA SETS; MEDICAL IMAGE CLASSIFICATION; ONE-CLASS CLASSIFICATION; RANDOM FOREST ALGORITHM; RANDOM FORESTS;

IMAGE CLASSIFICATION; LEARNING SYSTEMS; MEDICAL IMAGING;

DECISION TREES;

EID: 84870021480     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35428-1_31     Document Type: Conference Paper

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