Automated detection of tuberculosis in Ziehl-Neelsen-stained sputum smears using two one-class classifiers
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چکیده
منابع مشابه
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. The first comprises a one-class pixel classifier for object segmentation. Geometric transformat...
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Tuberculosis (TB) is an important public health issue in this world. In 1992, World Health Organization (WHO) has determined tuberculosis as Global Emergency. The caused of tuberculosis disease is Mycobacterium tuberculosis. This bacteria is bar shaped and has the quality of acid fast so that it’s also called as Acid Fast Bacilli (AFB). In this research, an algorithm to identifying and counting...
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ژورنال
عنوان ژورنال: Journal of Microscopy
سال: 2010
ISSN: 0022-2720,1365-2818
DOI: 10.1111/j.1365-2818.2009.03308.x