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Precise automatic classification of 46 different pollen types with convolutional neural networks

In palynology, the visual classification of pollen grains from different species is a hard task which is usually tackled by human operators using microscopes. Many industries, including medical and pharmaceutical, rely on the accuracy of this manual classification process, which is reported to be ar...

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Detalles Bibliográficos
Autores principales:	Sevillano, Víctor, Holt, Katherine, Aznarte, José L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310700/ https://www.ncbi.nlm.nih.gov/pubmed/32574174 http://dx.doi.org/10.1371/journal.pone.0229751

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