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Computer vision for microscopy diagnosis of malaria

<01>Originality: The paper is a first in the open-literature to undertake a comprehensive exposition of computer-vision and image analysis studies for automated-diagnosis and screening of malaria infection through microscope images of thin blood film smears, with novel approaches compared to the state-of-the-art.

Significance: .The paper has been a catalyst for work in this field, gaining a prestigious highly-accessed status: http://www.malariajournal.com/content/8/1/153

Rigour: The paper provides a rigorous methodological discussion backed by theory and based on a detailed verifiable critique of existing works which interpret the diagnosis problem in various ways with accompanying results being published in the leading, peer-reviewed malaria Journal.