Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks

BACKGROUND: Cell counting from cell cultures is required in multiple biological and biomedical research applications. Especially, accurate brightfield-based cell counting methods are needed for cell growth analysis. With deep learning, cells can be detected with high accuracy, but manually annotated...

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Detalles Bibliográficos
Autores principales: Liimatainen, Kaisa, Kananen, Lauri, Latonen, Leena, Ruusuvuori, Pekka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376647/
https://www.ncbi.nlm.nih.gov/pubmed/30767778
http://dx.doi.org/10.1186/s12859-019-2605-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376647/
https://www.ncbi.nlm.nih.gov/pubmed/30767778
http://dx.doi.org/10.1186/s12859-019-2605-z

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