Tek, F. Boray, Dempster, Andrew G. and Kale, Izzet (2009) Computer vision for microscopy diagnosis of malaria. Malaria Journal, 8. p. 153. ISSN 1475-2875Full text not available from this repository.
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.
|Subjects:||University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)|
|Depositing User:||Miss Nina Watts|
|Date Deposited:||14 Aug 2009 08:28|
|Last Modified:||15 Oct 2009 11:47|
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