Title | A Reflective Analysis of Image Processing Operations on Kato-Katz Images for the Pathological Diagnosis of Neglected Tropical Diseases |
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Authors | Sinada, F., Reni, S., Kale, I., Chiodini, P. and Shrivastava, J. |
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Type | Conference paper |
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Abstract | This paper gives an insight into the interdisciplinary work that has been carried out to diagnose some of the neglected tropical diseases, in particular micro-parasitic diseases, using image processing operations. The infections from micro-parasites are collectively called Helminthiasis. The Kato-Katz method is a slide scanning technique commonly used for the qualitative and semi-quantitative diagnosis of helminthiasis. This paper explains the image analysis and processing of Kato-katz images to extract meaningful information and convert the qualitative features of the images to quantitative data and thereby effectively diagnose the disease. This is the preliminary stage of a pioneering work done in the field of neglected tropical disease diagnosis and would be beneficial for thousands of people including children in the endemic regions |
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Keywords | Kato-katz, helminthiasis, image processing, image segmentation, morphological operations |
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Year | 2019 |
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Conference | IEEE International Conference on e-Health and Bioengineering |
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Publisher | IEEE |
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Accepted author manuscript | File Access Level Open (open metadata and files) |
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Publication dates |
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Published online | 27 Jan 2020 |
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ISBN | 9781728126036 |
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Digital Object Identifier (DOI) | https://doi.org/10.1109/EHB47216.2019.8970011 |
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Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/8961953/proceeding |
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| https://ieeexplore.ieee.org/servlet/opac?punumber=8961953 |
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