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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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| Gepubliceerd in: | Biotechnol Rep (Amst) |
|---|---|
| Hoofdauteurs: | , , , , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Elsevier
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6430008/ https://ncbi.nlm.nih.gov/pubmed/30949441 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.btre.2019.e00321 |
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