Delimiting cryptic morphological variation among human malaria vector species using convolutional neural networks

Deep learning is a powerful approach for distinguishing classes of images, and there is a growing interest in applying these methods to delimit species, particularly in the identification of mosquito vectors. Visual identification of mosquito species is the foundation of mosquito-borne disease surve...

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Detalles Bibliográficos
Autores principales: Couret, Jannelle, Moreira, Danilo C., Bernier, Davin, Loberti, Aria Mia, Dotson, Ellen M., Alvarez, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745989/
https://www.ncbi.nlm.nih.gov/pubmed/33332415
http://dx.doi.org/10.1371/journal.pntd.0008904

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745989/
https://www.ncbi.nlm.nih.gov/pubmed/33332415
http://dx.doi.org/10.1371/journal.pntd.0008904

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