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A novel measure and significance testing in data analysis of cell image segmentation
BACKGROUND: Cell image segmentation (CIS) is an essential part of quantitative imaging of biological cells. Designing a performance measure and conducting significance testing are critical for evaluating and comparing the CIS algorithms for image-based cell assays in cytometry. Many measures and met...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5351215/ https://ncbi.nlm.nih.gov/pubmed/28292256 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1527-x |
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