NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images

A Mahbod, C Polak, K Feldmann, R Khan, K Gelles… - Scientific Data, 2024 - nature.com
In computational pathology, automatic nuclei instance segmentation plays an essential role
in whole slide image analysis. While many computerized approaches have been proposed …

[HTML][HTML] Improving generalization capability of deep learning-based nuclei instance segmentation by non-deterministic train time and deterministic test time stain …

A Mahbod, G Dorffner, I Ellinger, R Woitek… - Computational and …, 2024 - Elsevier
With the advent of digital pathology and microscopic systems that can scan and save whole
slide histological images automatically, there is a growing trend to use computerized …

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

A Mahbod, G Schaefer, G Dorffner, S Hatamikia… - Frontiers in …, 2022 - frontiersin.org
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 …

[PDF][PDF] NuInsSeg: a fully annotated dataset for nuclei instance segmentation in H&E-stained histological images

K Gelles, G Dorffner, R Woitek, S Hatamikia, I Ellinger - d-nb.info
Methods Sample preparation. The NuInsSeg dataset 26 contains fully annotated brightfield
images for nuclei instance segmentation. The H&E-stained sections of 23 different human …