Use of Artificial Neural Networks To Accurately Identify Cryptosporidium Oocyst and Giardia Cyst Images
نویسندگان
چکیده
منابع مشابه
Use of artificial neural networks to accurately identify Cryptosporidium oocyst and Giardia cyst images.
Cryptosporidium parvum and Giardia lamblia are protozoa capable of causing gastrointestinal diseases. Currently, these organisms are identified using immunofluorescent antibody (IFA)-based microscopy, and identification requires trained individuals for final confirmation. Since artificial neural networks (ANN) can provide an automated means of identification, thereby reducing human errors relat...
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A survey on the presence of Cryptosporidium oocyst and Giardia cyst in livestock drinking water as well as the urban tap water throughout Taiwan was carried out. Water examination for the presence of the protozoa was conducted by filtering through a PTFE membrane followed by immunomagnetic separation (IMS) and immunostaining the sediment with commercially available monoclonal antibody against C...
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ژورنال
عنوان ژورنال: Applied and Environmental Microbiology
سال: 2005
ISSN: 0099-2240,1098-5336
DOI: 10.1128/aem.71.1.80-84.2005