Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identification

A simple method for accurately identifying Glossina spp in the field is a challenge to sustain the future elimination of Human African Trypanosomiasis (HAT) as a public health scourge, as well as for the sustainable management of African Animal Trypanosomiasis (AAT). Current methods for Glossina spe...

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Detalles Bibliográficos
Autores principales: Cannet, Arnaud, Simon-Chane, Camille, Akhoundi, Mohammad, Histace, Aymeric, Romain, Olivier, Souchaud, Marc, Jacob, Pierre, Delaunay, Pascal, Sereno, Darian, Bousses, Philippe, Grebaut, Pascal, Geiger, Anne, de Beer, Chantel, Kaba, Dramane, Sereno, Denis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684539/
https://www.ncbi.nlm.nih.gov/pubmed/36418429
http://dx.doi.org/10.1038/s41598-022-24522-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684539/
https://www.ncbi.nlm.nih.gov/pubmed/36418429
http://dx.doi.org/10.1038/s41598-022-24522-w

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