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Artificial Neural Networks for Detection of Malaria in RBCs
August 23, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Purnima Pandit, A. Anand
arXiv ID
1608.06627
Category
physics.med-ph
Cross-listed
cs.CV,
cs.NE
Citations
11
Venue
arXiv.org
Last Checked
3 months ago
Abstract
Malaria is one of the most common diseases caused by mosquitoes and is a great public health problem worldwide. Currently, for malaria diagnosis the standard technique is microscopic examination of a stained blood film. We propose use of Artificial Neural Networks (ANN) for the diagnosis of the disease in the red blood cell. For this purpose features / parameters are computed from the data obtained by the digital holographic images of the blood cells and is given as input to ANN which classifies the cell as the infected one or otherwise.
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