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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| 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 |