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Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning
[article]
2021
bioRxiv
pre-print
AbstractUnderstanding the spatial organization of tissues is of critical importance for both basic and translational research. While recent advances in tissue imaging are opening an exciting new window into the biology of human tissues, interpreting the data that they create is a significant computational challenge. Cell segmentation, the task of uniquely identifying each cell in an image, remains a substantial barrier for tissue imaging, as existing approaches are inaccurate or require a
doi:10.1101/2021.03.01.431313
fatcat:xob6ar7uwfh3bpuwowp2lvyp7u