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A comparative study of cell classifiers for image-based high-throughput screening
BACKGROUND: Millions of cells are present in thousands of images created in high-throughput screening (HTS). Biologists could classify each of these cells into a phenotype by visual inspection. But in the presence of millions of cells this visual classification task becomes infeasible. Biologists tr...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4287552/ https://ncbi.nlm.nih.gov/pubmed/25336059 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-15-342 |
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