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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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Detalles Bibliográficos
Autores principales: Scherr, Tim, Löffler, Katharina, Böhland, Moritz, Mikut, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7723299/
https://www.ncbi.nlm.nih.gov/pubmed/33290432
http://dx.doi.org/10.1371/journal.pone.0243219