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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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| Vydáno v: | Sci Rep |
|---|---|
| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Publishing Group UK
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6079059/ https://ncbi.nlm.nih.gov/pubmed/30082723 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-30276-1 |
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