A convolutional neural network segments yeast microscopy images with high accuracy
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DOI: 10.1038/s41467-020-19557-4
Abstract: The identification of cell borders (‘segmentation’) in microscopy images constitutes a bottleneck for large-scale experiments. For the model organism Saccharomyces cerevisiae, current segmentation methods face challenges when cells bud, crowd, or exhibit irregular features. We… read more here.
Keywords: microscopy; convolutional neural; microscopy images; network segments ... See more keywords