DeepBacs for multi-task bacterial image analysis using open-source deep learning approaches

This work demonstrates and guides how to use a range of state-of-the-art artificial neural-networks to analyse bacterial microscopy images using the recently developed ZeroCostDL4Mic platform. We generated a database of image datasets used to train networks for various image analysis tasks and prese...

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Detalles Bibliográficos
Autores principales: Spahn, Christoph, Gómez-de-Mariscal, Estibaliz, Laine, Romain F., Pereira, Pedro M., von Chamier, Lucas, Conduit, Mia, Pinho, Mariana G., Jacquemet, Guillaume, Holden, Séamus, Heilemann, Mike, Henriques, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271087/
https://www.ncbi.nlm.nih.gov/pubmed/35810255
http://dx.doi.org/10.1038/s42003-022-03634-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271087/
https://www.ncbi.nlm.nih.gov/pubmed/35810255
http://dx.doi.org/10.1038/s42003-022-03634-z

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