TB & Outbreaks Week
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Tuberculosis
New tuberculosis study findings have been reported by researchers at Simon Fraser University
June 10th, 2008
"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," investigators in Burnaby, Canada report. "Automated, multi-stage, color-based Bayesian segmentation identified possible 'TB objects', removed artifacts by shape comparison and color-labeled objects as 'definite', 'possible' or 'non-TB', bypassing photomicrographic calibration. Superimposed AFB clusters, extreme stain variation and low depth of field were challenges. Our novel method facilitates...
Source: TB & Outbreaks Week (2008-06-10)
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