Ontology highlight
ABSTRACT:
SUBMITTER: Sevillano V
PROVIDER: S-EPMC7310700 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Sevillano Víctor V Holt Katherine K Aznarte José L JL
PloS one 20200623 6
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 around 67%. In this paper, we propose a new method to automatically classify pollen grains using deep learning techniques that improve the correct classification rates in images not previously seen by t ...[more]