Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas;

We make our dataset publicly avaiable. It consists of 50 H&E stained histopathology annotated images at the nuclei level. This dataset is ideal for those who want an exhaustive annotation of H&E breast cancer patient from a Tripple Negative Breast Cancer cohort.

Dataset Files

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Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas; [1] Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas; , "Segmentation of Nuclei in Histopathology Images by deep regression of the distance map", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H26X0H. Accessed: Dec. 21, 2024.
@data{h26x0h-18,
doi = {10.21227/H26X0H},
url = {http://dx.doi.org/10.21227/H26X0H},
author = { Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas; },
publisher = {IEEE Dataport},
title = {Segmentation of Nuclei in Histopathology Images by deep regression of the distance map},
year = {2018} }
TY - DATA
T1 - Segmentation of Nuclei in Histopathology Images by deep regression of the distance map
AU - Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas;
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H26X0H
ER -
Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas; . (2018). Segmentation of Nuclei in Histopathology Images by deep regression of the distance map. IEEE Dataport. http://dx.doi.org/10.21227/H26X0H
Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas; , 2018. Segmentation of Nuclei in Histopathology Images by deep regression of the distance map. Available at: http://dx.doi.org/10.21227/H26X0H.
Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas; . (2018). "Segmentation of Nuclei in Histopathology Images by deep regression of the distance map." Web.
1. Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas; . Segmentation of Nuclei in Histopathology Images by deep regression of the distance map [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H26X0H
Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas; . "Segmentation of Nuclei in Histopathology Images by deep regression of the distance map." doi: 10.21227/H26X0H