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Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy
The accurate segmentation and tracking of cells in microscopy image sequences is an important task in biomedical research, e.g., for studying the development of tissues, organs or entire organisms. However, the segmentation of touching cells in images with a low signal-to-noise-ratio is still a chal...
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| Udgivet i: | PLoS One |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Public Library of Science
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7723299/ https://ncbi.nlm.nih.gov/pubmed/33290432 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0243219 |
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