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Deep learning applied to analyze patterns from evaporated droplets of Viscum album extracts
This paper introduces a deep learning based methodology for analyzing the self-assembled, fractal-like structures formed in evaporated droplets. To this end, an extensive image database of such structures of the plant extract Viscum album Quercus [Formula: see text] was used, prepared by three diffe...
Autores principales: | Acuña, Carlos, Mier y Terán, Alfonso, Kokornaczyk, Maria Olga, Baumgartner, Stephan, Castelán, Mario |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468023/ https://www.ncbi.nlm.nih.gov/pubmed/36097279 http://dx.doi.org/10.1038/s41598-022-19217-1 |
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