Classifier fusion approaches for diagnostic cancer models

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 5334-5337

  Dimou, Ioannis N ^b   Manikis, Georgios C ^b   Zervakis, Michalis E ^a,b  

^a IEEE

^b TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

Classifier ensembles; Classifier fusion; Diagnostic model; Hyper classifiers; SVMs

Indexed keywords

CORRELATION METHODS; HEURISTIC METHODS; MEDICAL PROBLEMS; STATISTICAL METHODS; SUPPORT VECTOR MACHINES;

CLASSIFIER ENSEMBLES; CLASSIFIER FUSION; DIAGNOSTIC MODEL;

TUMORS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; COMPUTER SIMULATION; HUMAN; MATHEMATICAL COMPUTING; NEOPLASM; PROBABILITY; REPRODUCIBILITY; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; MODELS, STATISTICAL; MODELS, THEORETICAL; NEOPLASMS; NEURAL NETWORKS (COMPUTER); NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PROBABILITY; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 34047130199     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260778     Document Type: Conference Paper

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