Machine learning algorithms accurately identify free-living marine nematode species

BACKGROUND: Identifying species, particularly small metazoans, remains a daunting challenge and the phylum Nematoda is no exception. Typically, nematode species are differentiated based on morphometry and the presence or absence of certain characters. However, recent advances in artificial intellige...

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Detalles Bibliográficos
Autores principales: Brito de Jesus, Simone, Vieira, Danilo, Gheller, Paula, Cunha, Beatriz P., Gallucci, Fabiane, Fonseca, Gustavo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Marine Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569207/
https://www.ncbi.nlm.nih.gov/pubmed/37842061
http://dx.doi.org/10.7717/peerj.16216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569207/
https://www.ncbi.nlm.nih.gov/pubmed/37842061
http://dx.doi.org/10.7717/peerj.16216

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