Deep learning approaches for challenging species and gender identification of mosquito vectors

Microscopic observation of mosquito species, which is the basis of morphological identification, is a time-consuming and challenging process, particularly owing to the different skills and experience of public health personnel. We present deep learning models based on the well-known you-only-look-on...

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Detalles Bibliográficos
Autores principales: Kittichai, Veerayuth, Pengsakul, Theerakamol, Chumchuen, Kemmapon, Samung, Yudthana, Sriwichai, Patchara, Phatthamolrat, Natthaphop, Tongloy, Teerawat, Jaksukam, Komgrit, Chuwongin, Santhad, Boonsang, Siridech
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921658/
https://www.ncbi.nlm.nih.gov/pubmed/33649429
http://dx.doi.org/10.1038/s41598-021-84219-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921658/
https://www.ncbi.nlm.nih.gov/pubmed/33649429
http://dx.doi.org/10.1038/s41598-021-84219-4

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