Publication:
Mathematical algorithm for the automatic recognition of intestinal parasites
Mathematical algorithm for the automatic recognition of intestinal parasites
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Date
2017
Authors
Alva, A
Cangalaya, C
Quiliano, M
Krebs, C
Gilman, RH
Sheen, P
Zimic, M
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Publisher
PLOS
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Abstract
Parasitic infections are generally diagnosed by professionals trained to recognize the morphological characteristics of the eggs in microscopic images of fecal smears. However, this laboratory diagnosis requires medical specialists which are lacking in many of the areas where these infections are most prevalent. In response to this public health issue, we developed a software based on pattern recognition analysis from microscopi digital images of fecal smears, capable of automatically recognizing and diagnosing common human intestinal parasites.
Description
This study was funded by CONCYTEC-PROCYT 245-2008 and FINCyT-EQUIP 100-2009. MZ was a grantee of Bill and Melinda Gates Foundation (OPPOPP1140557). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Keywords
mathematical algorithm,
intestinal parasites