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

Internet

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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