An automatic vision-based malaria diagnosis system.

Journal article

Malaria is a worldwide health problem with 225 million infections each year. A fast and easy-to-use method, with high performance is required to differentiate malaria from non-malarial fevers. Manual examination of blood smears is currently the gold standard, but it is time-consuming, labour-intensive, requires skilled microscopists and the sensitivity of the method depends heavily on the skills of the microscopist. We propose an easy-to-use, quantitative cartridge-scanner system for vision-b...

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Authors: Vink, J; Laubscher, M; Vlutters, R; Silamut, K; Maude, R

• Publication status: Published
• Journal: Journal of microscopy
• Volume: 250
• Issue: 3
• Pages: 166-178
• Publication date: 2013-06-01
• DOI: 10.1111/jmi.12032
• EISSN: 1365-2818
• ISSN: 0022-2720
• Language: English
• Keywords: Automation, Laboratory; Image Processing, Computer-Assisted; Parasitology; Plasmodium falciparum; Malaria, Falciparum; Microscopy; Sensitivity and Specificity; Parasitemia; Bangladesh