Computer-aided diagnosis system: A Bayesian hybrid classification method

Abstract A novel method to classify multi-class biomedical objects is presented. The method is based on a hybrid approach which combines pairwise comparison, Bayesian regression and the k -nearest neighbor technique. It can be applied in a fully automatic way or in a relevance feedback framework. In...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2013-10, Vol.112 (1), p.104-113
Hauptverfasser:	CALLE-ALONSO, F, PEREZ, C. J, ARIAS-NICOLAS, J. P, MARTIN, J
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial Intelligence Bayes Theorem Bayesian methodology Biological and medical sciences Breast Neoplasms - classification Breast Neoplasms - diagnosis Classification Classification - methods Computer science control theory systems Computer-aided diagnosis Computerized, statistical medical data processing and models in biomedicine Data processing. List processing. Character string processing Diagnosis, Computer-Assisted - methods Diagnosis, Computer-Assisted - statistics & numerical data Exact sciences and technology Female Humans Internal Medicine Medical management aid. Diagnosis aid Medical sciences Memory organisation. Data processing Other Pattern Recognition, Automated Relevance feedback Software Spinal Diseases - classification Spinal Diseases - diagnosis Tumors
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