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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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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2010
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| Schlagworte: | |
| Online Zugang: | 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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