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Malaria Journal
Published in: Malaria Journal 1/2009

Open Access 01-12-2009 | Methodology

Computer vision for microscopy diagnosis of malaria

Authors: F Boray Tek, Andrew G Dempster, Izzet Kale

Published in: Malaria Journal | Issue 1/2009

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Abstract

This paper reviews computer vision and image analysis studies aiming at automated diagnosis or screening of malaria infection in microscope images of thin blood film smears. Existing works interpret the diagnosis problem differently or propose partial solutions to the problem. A critique of these works is furnished. In addition, a general pattern recognition framework to perform diagnosis, which includes image acquisition, pre-processing, segmentation, and pattern classification components, is described. The open problems are addressed and a perspective of the future work for realization of automated microscopy diagnosis of malaria is provided.
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Metadata
Title
Computer vision for microscopy diagnosis of malaria
Authors
F Boray Tek
Andrew G Dempster
Izzet Kale
Publication date
01-12-2009
Publisher
BioMed Central
Published in
Malaria Journal / Issue 1/2009
Electronic ISSN: 1475-2875
DOI
https://doi.org/10.1186/1475-2875-8-153

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