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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...
Autores principales: | Kittichai, Veerayuth, Pengsakul, Theerakamol, Chumchuen, Kemmapon, Samung, Yudthana, Sriwichai, Patchara, Phatthamolrat, Natthaphop, Tongloy, Teerawat, Jaksukam, Komgrit, Chuwongin, Santhad, Boonsang, Siridech |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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