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Automated detection of tuberculosis in Ziehl-Neelsen stained sputum smears using two one-class classifiers

Screening for tuberculosis in high-prevalence countries relies on sputum smear microscopy. We present a method for the automated identification of Mycobacterium tuberculosis in images of Ziehl-Neelsen stained sputum smears obtained using a bright-field microscope. We use two stages of classification...

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Main Authors: Khutlang, Rethabile, Krishnan, Sriram, Whitelaw, Andrew, Douglas, Tania S
Formato: Artigo
Idioma:Inglês
Publicado: 2010
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC2825536/
https://ncbi.nlm.nih.gov/pubmed/20055923
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1365-2818.2009.03308.x
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