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    A dual decoder U-Net-based model for nuclei instance segmentation in hematoxylin and eosin-stained histological images by Amirreza Mahbod, Gerald Schaefer, Georg Dorffner, Sepideh Hatamikia, Rupert Ecker, Isabella Ellinger

    Published 2022
    “…When applied to three publicly available datasets, our method achieves excellent segmentation performance, leading to average panoptic quality values of 50.8%, 51.3%, and 62.1% for the CryoNuSeg, NuInsSeg, and MoNuSAC datasets, respectively. …”
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