CryoNuSeg: a dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images

Nuclei instance segmentation plays an important role in the analysis of hematoxylin and eosin (H&E)-stained images. While supervised deep learning (DL)-based approaches represent the state-of-the-art in automatic nuclei instance segmentation, annotated datasets are required to train these models...

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Bibliographic Details

Main Authors:	Amirreza Mahbod, Gerald Schaefer, Benjamin Bancher, Christine Löw, Georg Dorffner, Rupert Ecker, Isabella Ellinger
Format:	Default Article
Published:	2021
Subjects:	Medical image analysis Computational pathology Frozen tissue samples H&E staining Tissue fixation/embedding Nuclei segmentation Deep learning Benchmarking
Online Access:	https://hdl.handle.net/2134/14535006.v1
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