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Multicell migration tracking within angiogenic networks by deep learning-based segmentation and augmented Bayesian filtering
Cell migration is a key feature for living organisms. Image analysis tools are useful in studying cell migration in three-dimensional (3-D) in vitro environments. We consider angiogenic vessels formed in 3-D microfluidic devices (MFDs) and develop an image analysis system to extract cell behaviors f...
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| Pubblicato in: | J Med Imaging (Bellingham) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5998841/ https://ncbi.nlm.nih.gov/pubmed/29900184 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.2.024005 |
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