Cell Type Classification and Unsupervised Morphological Phenotyping From Low-Resolution Images Using Deep Learning

Convolutional neural networks (ConvNets) have proven to be successful in both the classification and semantic segmentation of cell images. Here we establish a method for cell type classification utilizing images taken with a benchtop microscope directly from cell culture flasks, eliminating the need...

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Detalles Bibliográficos
Autores principales: Yao, Kai, Rochman, Nash D., Sun, Sean X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749053/
https://www.ncbi.nlm.nih.gov/pubmed/31530889
http://dx.doi.org/10.1038/s41598-019-50010-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749053/
https://www.ncbi.nlm.nih.gov/pubmed/31530889
http://dx.doi.org/10.1038/s41598-019-50010-9

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