Machine learning approach to support taxonomic species discrimination based on helminth collections data

Machine learning approach to support taxonomic species discrimination based on helminth collections data

Abstract Background There are more than 300 species of capillariids that parasitize various vertebrate groups worldwide. Species identification is hindered because of the few taxonomically informative structures available, making the task laborious and genus definition controversial. Thus, its taxon...

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Bibliographic Details
Main Authors: Victor Hugo Borba, Coralie Martin, José Roberto Machado-Silva, Samanta C. C. Xavier, Flávio L. de Mello, Alena Mayo Iñiguez
Format: Article
Language:English
Published: BMC 2021-05-01
Series:Parasites & Vectors
Subjects:
Taxonomy
Artificial intelligence
Species identification
Capillaridae
Parasite eggs
Online Access:https://doi.org/10.1186/s13071-021-04721-6

Internet

https://doi.org/10.1186/s13071-021-04721-6

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