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Classification of red blood cell shapes in flow using outlier tolerant machine learning
The manual evaluation, classification and counting of biological objects demands for an enormous expenditure of time and subjective human input may be a source of error. Investigating the shape of red blood cells (RBCs) in microcapillary Poiseuille flow, we overcome this drawback by introducing a co...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6021115/ https://ncbi.nlm.nih.gov/pubmed/29906283 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006278 |
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