Creating a virtual slide map from sputum smear images for region-of-interest localisation in automated microscopy

Author:

Patel Bhavin,Douglas Tania S.

Funder

National Institutes of Health/National Institute of Allergy and Infectious Diseases (NIH/NIAID)

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference33 articles.

1. Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review;Steingart;The Lancet Infectious Diseases,2006

2. The future looks bright: low-cost fluorescent microscopes for detection of Mycobacterium tuberculosis and coccidiae;Hänscheid;Transactions of the Royal Society of Tropical Medicine and Hygiene,2008

3. Automated focusing in bright-field microscopy for tuberculosis detection;Osibote;Journal of Microscopy,2010

4. Automated identification of tubercle bacilli in sputum. A preliminary investigation;Veropoulos;Analytical & Quantitative Cytology & Histology,1999

5. Automatic identification of Mycobacterium tuberculosis by Gaussian mixture models;Forero;Journal of Microscopy,2006

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