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 intelligen...

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Bibliographic Details
Main Authors: Simone Brito de Jesus, Danilo Vieira, Paula Gheller, Beatriz P. Cunha, Fabiane Gallucci, Gustavo Fonseca
Format: Article
Language:English
Published: PeerJ Inc. 2023-10-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/16216.pdf