Deep neural networks outperform human expert's capacity in characterizing bioleaching bacterial biofilm composition

BACKGROUND: Deep neural networks have been successfully applied to diverse fields of computer vision. However, they only outperform human capacities in a few cases. METHODS: The ability of deep neural networks versus human experts to classify microscopy images was tested on biofilm colonization patt...

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Detalles Bibliográficos
Autores principales: Buetti-Dinh, Antoine, Galli, Vanni, Bellenberg, Sören, Ilie, Olga, Herold, Malte, Christel, Stephan, Boretska, Mariia, Pivkin, Igor V., Wilmes, Paul, Sand, Wolfgang, Vera, Mario, Dopson, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430008/
https://www.ncbi.nlm.nih.gov/pubmed/30949441
http://dx.doi.org/10.1016/j.btre.2019.e00321

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430008/
https://www.ncbi.nlm.nih.gov/pubmed/30949441
http://dx.doi.org/10.1016/j.btre.2019.e00321

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