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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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| Yayımlandı: | Sci Rep |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Publishing Group UK
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6749053/ https://ncbi.nlm.nih.gov/pubmed/31530889 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-50010-9 |
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