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Automatic Detection of Malarial Parasites from Blood Cells Using Soft Computing Techniques
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| Author:
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K. KARUNHARAN, X. ANITHA MARY
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| Abstract:
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Medical image processing technics has been a great boon to hematologists for the detection and investigation of disorders such as malarial parasites. Malaria may be an illness caused by parasites, that infect human red blood cells (erythrocytes). The parasites are transmitted by the bite of feminine mosquitoes. protozoal infection continues to be an extremely deadly condition albeit it's treatable. The sphere of investigation in this paper is for automatic malaria detection from blood smear images that has a prodigious significance in healthcare informatics. Widespread experiments are executed using the meticulously thick blood smear images. Our results reveal that the deep-learning-based computing technique with accuracy of 86%.
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| Keyword:
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Nonlinear Approximation, Flexible Patch Model, Attribute Opening, Protozoal Infection.
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| EOI:
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-
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| DOI:
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https://doi.org/10.31838/ijpr/2020.12.04.167
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| Download:
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