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An automatic vision‐based malaria diagnosis system

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.