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Max-AUC Feature Selection in Computer-Aided Detection of Polyps in CT Colonography

We propose a feature selection method based on a sequential forward floating selection (SFFS) procedure to improve the performance of a classifier in computerized detection of polyps in CT colonography (CTC). The feature selection method is coupled with a nonlinear support vector machine (SVM) class...

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Bibliografiske detaljer
Udgivet i:IEEE J Biomed Health Inform
Main Authors: Xu, Jian-Wu, Suzuki, Kenji
Format: Artigo
Sprog:Inglês
Udgivet: 2014
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4283828/
https://ncbi.nlm.nih.gov/pubmed/24608058
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JBHI.2013.2278023
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