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Machine Learning Assisted Classification of Cell Lines and Cell States on Quantitative Phase Images
In this report, we present implementation and validation of machine-learning classifiers for distinguishing between cell types (HeLa, A549, 3T3 cell lines) and states (live, necrosis, apoptosis) based on the analysis of optical parameters derived from cell phase images. Validation of the developed c...
Autores principales: | Belashov, Andrey V., Zhikhoreva, Anna A., Belyaeva, Tatiana N., Salova, Anna V., Kornilova, Elena S., Semenova, Irina V., Vasyutinskii, Oleg S. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533984/ https://www.ncbi.nlm.nih.gov/pubmed/34685568 http://dx.doi.org/10.3390/cells10102587 |
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