Deep learning tools and modeling to estimate the temporal expression of cell cycle proteins from 2D still images
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DOI: 10.1371/journal.pcbi.1009949
Abstract: Automatic characterization of fluorescent labeling in intact mammalian tissues remains a challenge due to the lack of quantifying techniques capable of segregating densely packed nuclei and intricate tissue patterns. Here, we describe a powerful deep… read more here.
Keywords: cell cycle; still images; learning; deep learning ... See more keywords