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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Библиографические подробности
Опубликовано в: :J Clin Microbiol
Главные авторы: Mathison, Blaine A., Kohan, Jessica L., Walker, John F., Smith, Richard Boyd, Ardon, Orly, Couturier, Marc Roger
Формат: Artigo
Язык:Inglês
Опубликовано: American Society for Microbiology 2020
Предметы:
Parasitology
Online-ссылка: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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