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Fisheye transformation enhances deep-learning-based single-cell phenotyping by including cellular microenvironment
Incorporating information about the surroundings can have a significant impact on successfully determining the class of an object. This is of particular interest when determining the phenotypes of cells, for example, in the context of high-throughput screens. We hypothesized that an ideal approach w...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795324/ https://www.ncbi.nlm.nih.gov/pubmed/36590690 http://dx.doi.org/10.1016/j.crmeth.2022.100339 |