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

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

Abstract Background Fecal examination is an important component of routine companion animal wellness exams. Sensitivity and specificity of fecal examinations, however, are influenced by sample preparation methodologies and the level of training and experience of personnel who read fecal slides. The...

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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, Richard Goldstein
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Parasites & Vectors
Subjects:
Deep learning
Fecal egg identification
Artificial intelligence
Veterinary parasitology diagnostic
Online Access:http://link.springer.com/article/10.1186/s13071-020-04215-x

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