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A dual decoder U-Net-based model for nuclei instance segmentation in hematoxylin and eosin-stained histological images

Even in the era of precision medicine, with various molecular tests based on omics technologies available to improve the diagnosis process, microscopic analysis of images derived from stained tissue sections remains crucial for diagnostic and treatment decisions. Among other cellular features, both...

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Bibliographic Details
Main Authors:	Amirreza Mahbod, Gerald Schaefer, Georg Dorffner, Sepideh Hatamikia, Rupert Ecker, Isabella Ellinger
Format:	Default Article
Published:	2022
Subjects:	digital pathology medical image analysis nuclei segmentation machine learning deep learning
Online Access:	https://hdl.handle.net/2134/22110974.v1
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