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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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| Foilsithe in: | Sci Rep |
|---|---|
| Main Authors: | , , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
Nature Publishing Group UK
2018
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| Ábhair: | |
| Rochtain Ar Líne: | 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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