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