Cell type discrimination based on image features of molecular component distribution

Machine learning-based cell classifiers use cell images to automate cell-type discrimination, which is increasingly becoming beneficial in biological studies and biomedical applications. Brightfield or fluorescence images are generally employed as the classifier input variables. We propose to use Ra...

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Detalles Bibliográficos
Autores principales: Germond, Arno, Ichimura, Taro, Chiu, Liang-da, Fujita, Katsumasa, Watanabe, Tomonobu M., Fujita, Hideaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6079059/
https://www.ncbi.nlm.nih.gov/pubmed/30082723
http://dx.doi.org/10.1038/s41598-018-30276-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6079059/
https://www.ncbi.nlm.nih.gov/pubmed/30082723
http://dx.doi.org/10.1038/s41598-018-30276-1

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