To appear in the Analytical and Quantitative Cytology and Histology
نویسندگان
چکیده
Background: Tuberculosis (TB) is currently the world's leading cause of adult death from a single infectious disease. Sputum examination remains the cornerstone of diagnosis in epidemic situations. Automated identification of tubercle bacilli on sputum specimens would have many benefits. Objective: To use an automated method to detect tubercle bacilli in sputum specimens. Study Design: Using fluorescence microscopy, tubercle bacilli were identified on Auramine stained sputum specimens. Images of these were then captured with a digital camera, and enhanced through imaging processing techniques. The bacilli were recognized using neural network classifiers. Results: This preliminary investigation demonstrated a sensitivity of 94.1% for the identification of individual bacilli. As there are usually fairly numerous TB bacilli in the sputum of patients with active pulmonary TB, the overall diagnostic accuracy for sputum smear positive patients can be expected to be very high. Conclusions: Potential benefits of automated screening for TB bacilli are: rapid, accurate, inexpensive diagnosis; the ability to screen larger numbers of people; increased resources to monitor patients, reduction in health risks to staff. The cost effectiveness of automation is also discussed. To appear in the Analytical and Quantitative Cytology and Histology The Official Periodical of THE INTERNATIONAL ACADEMY OF CYTOLOGY and THE AMERICAN SOCIETY OF CYTOLOGY
منابع مشابه
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