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Detection of Intestinal Protozoa in Trichrome-Stained Stool Specimens by Use of a Deep Convolutional Neural Network

Intestinal protozoa are responsible for relatively few infections in the developed world, but the testing volume is disproportionately high. Manual light microscopy of stool remains the gold standard but can be insensitive, time-consuming, and difficult to maintain competency. Artificial intelligenc...

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Bibliographische Detailangaben
Veröffentlicht in:J Clin Microbiol
Hauptverfasser: Mathison, Blaine A., Kohan, Jessica L., Walker, John F., Smith, Richard Boyd, Ardon, Orly, Couturier, Marc Roger
Format: Artigo
Sprache:Inglês
Veröffentlicht: American Society for Microbiology 2020
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7269375/
https://ncbi.nlm.nih.gov/pubmed/32295888
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1128/JCM.02053-19
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