Workflow towards automated segmentation of agglomerated, non-spherical particles from electron microscopy images using artificial neural networks

We present a workflow for obtaining fully trained artificial neural networks that can perform automatic particle segmentations of agglomerated, non-spherical nanoparticles from scanning electron microscopy images “from scratch”, without the need for large training data sets of manually annotated ima...

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Detalles Bibliográficos
Autores principales: Rühle, Bastian, Krumrey, Julian Frederic, Hodoroaba, Vasile-Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925552/
https://www.ncbi.nlm.nih.gov/pubmed/33654161
http://dx.doi.org/10.1038/s41598-021-84287-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925552/
https://www.ncbi.nlm.nih.gov/pubmed/33654161
http://dx.doi.org/10.1038/s41598-021-84287-6

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