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Massive-training support vector regression and Gaussian process for false-positive reduction in computer-aided detection of polyps in CT colonography

Purpose: A massive-training artificial neural network (MTANN) has been developed for the reduction of false positives (FPs) in computer-aided detection (CADe) of polyps in CT colonography (CTC). A major limitation of the MTANN is the long training time. To address this issue, the authors investigate...

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Detalhes bibliográficos
Main Authors: Xu, Jian-Wu, Suzuki, Kenji
Formato: Artigo
Idioma:Inglês
Publicado em: American Association of Physicists in Medicine 2011
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3069995/
https://ncbi.nlm.nih.gov/pubmed/21626922
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3562898
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