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Image processing techniques for identifying Mycobacterium tuberculosis in Ziehl-Neelsen stains
Worldwide, laboratory technicians tediously read sputum smears for tuberculosis (TB) diagnosis. We demonstrate proof of principle of an innovative computational algorithm that successfully recognizes Ziehl-Neelsen (ZN) stained acid-fast bacilli (AFB) in digital images. Automated, multi-stage, color-...
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| Publié dans: | Int J Tuberc Lung Dis |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2008
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4858347/ https://ncbi.nlm.nih.gov/pubmed/18419897 |
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