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Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments
Live-cell imaging has opened an exciting window into the role cellular heterogeneity plays in dynamic, living systems. A major critical challenge for this class of experiments is the problem of image segmentation, or determining which parts of a microscope image correspond to which individual cells....
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5096676/ https://ncbi.nlm.nih.gov/pubmed/27814364 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005177 |
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