Mosquito species identification using convolutional neural networks with a multitiered ensemble model for novel species detection

Mosquito species identification using convolutional neural networks with a multitiered ensemble model for novel species detection

Abstract With over 3500 mosquito species described, accurate species identification of the few implicated in disease transmission is critical to mosquito borne disease mitigation. Yet this task is hindered by limited global taxonomic expertise and specimen damage consistent across common capture met...

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Autores principales: Adam Goodwin, Sanket Padmanabhan, Sanchit Hira, Margaret Glancey, Monet Slinowsky, Rakhil Immidisetti, Laura Scavo, Jewell Brey, Bala Murali Manoghar Sai Sudhakar, Tristan Ford, Collyn Heier, Yvonne-Marie Linton, David B. Pecor, Laura Caicedo-Quiroga, Soumyadipta Acharya
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/e21bc90183f8402585e3f54b7e9d49ad
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https://doaj.org/article/e21bc90183f8402585e3f54b7e9d49ad

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