Chapter title | Automated P.falciparum detection system for post-treatment malaria diagnosis using modified annular ring ratio method |
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Authors | Kareem, S., Kale, I., Morling, R.C.S. and Reni, S. |
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Editors | Al-Dabass, D., Orsoni, A. and Cant, R. |
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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. |
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Book title | Proceedings of the 2012 UKSim 14th International Conference on Computer Modelling and Simulation (UKSim), Cambridge, 28-30 March 2012 |
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Page range | 432-436 |
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Year | 2012 |
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Publisher | IEEE |
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Publication dates |
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Published | 2012 |
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ISBN | 9781467313667 |
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Digital Object Identifier (DOI) | https://doi.org/10.1109/UKSim.2012.108 |
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Journal | 2012 UKSim 14th International Conference on Computer Modelling and Simulation (UKSim) |
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