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Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets
Three-dimensional microscopy is increasingly prevalent in biology due to the development of techniques such as multiphoton, spinning disk confocal, and light sheet fluorescence microscopies. These methods enable unprecedented studies of life at the microscale, but bring with them larger and more com...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6292638/ https://ncbi.nlm.nih.gov/pubmed/30507940 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006628 |
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