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Efficient Detection of Longitudinal Bacteria Fission Using Transfer Learning in Deep Neural Networks

A very common way to classify bacteria is through microscopic images. Microscopic cell counting is a widely used technique to measure microbial growth. To date, fully automated methodologies are available for accurate and fast measurements; yet for bacteria dividing longitudinally, as in the case of...

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Detalles Bibliográficos
Autores principales:	Garcia-Perez, Carlos, Ito, Keiichi, Geijo, Javier, Feldbauer, Roman, Schreiber, Nico, zu Castell, Wolfgang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Microbiology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217615/ https://www.ncbi.nlm.nih.gov/pubmed/34168623 http://dx.doi.org/10.3389/fmicb.2021.645972

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