WestminsterResearch

Automated P.falciparum detection system for post-treatment malaria diagnosis using modified annular ring ratio method

Kareem, Saumya and Kale, Izzet and Morling, Richard C.S. (2012) Automated P.falciparum detection system for post-treatment malaria diagnosis using modified annular ring ratio method. In: Al-Dabass, David and Orsoni, Alessandra and Cant, Richard, (eds.) Proceedings of the 2012 UKSim 14th International Conference on Computer Modelling and Simulation (UKSim), Cambridge, 28-30 March 2012. IEEE, pp. 432-436. ISBN 9781467313667

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/UKSim.2012.108

Abstract

The gametocytes of the malaria parasite Plasmodium falciparum are highly resistant to antimalarial drugs. Its presence in the blood can be detected even after a successful malaria treatment. This paper explains a modified Annular Ring Ratio method which successfully locates and differentiates gametocytes of P. falciparum species in thin blood film images. The method can be used as an efficient tool for gametocyte detection for post-treatment malaria diagnosis. It also identifies the presence of any White Blood Cells (WBCs) in the image, and discards other artifacts and non infected cells. It utilizes the information based on structure, color and geometry of the cells and does not require any segmentation or non-illumination correction techniques that are commonly used for cell detection.

Item Type:Book Section
Additional Information:Cambridge, 28-30 March 2012
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:10946
Deposited On:27 Jul 2012 10:30
Last Modified:24 Jun 2013 16:38

Repository Staff Only: item control page