Cargando…
Improving classification of pollen grain images of the POLEN23E dataset through three different applications of deep learning 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. Its complete automatization would save a high quantity of resources and provide valuable improvements especially for allergy-related informat...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138340/ https://www.ncbi.nlm.nih.gov/pubmed/30216353 http://dx.doi.org/10.1371/journal.pone.0201807 |