Further evaluation and validation of the VETSCAN IMAGYST: in-clinic feline and canine fecal parasite detection system integrated with a deep learning algorithm

Further evaluation and validation of the VETSCAN IMAGYST: in-clinic feline and canine fecal parasite detection system integrated with a deep learning algorithm

Abstract Background Fecal examinations in pet cats and dogs are key components of routine veterinary practice; however, their accuracy is influenced by diagnostic methodologies and the experience level of personnel performing the tests. The VETSCAN IMAGYST system was developed to provide simpler and...

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Bibliographic Details
Main Authors: Yoko Nagamori, Ruth Hall Sedlak, Andrew DeRosa, Aleah Pullins, Travis Cree, Michael Loenser, Benjamin S. Larson, Richard Boyd Smith, Cory Penn, Richard Goldstein
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Parasites & Vectors
Subjects:
Deep learning
Fecal egg identification
Veterinary parasitology diagnostic
Ancylostoma
Toxocara cati
Cystoisospora
Online Access:https://doi.org/10.1186/s13071-021-04591-y

Internet

https://doi.org/10.1186/s13071-021-04591-y

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