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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| 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 |