@article{fef43490b65140a191579413c2d4aee2,
title = "Unsupervised morphological segmentation of tissue compartments in histopathological images",
author = "Shereen Fouad and David Randell and Antony Galton and Hisham Mehanna and Gabriel Landini",
note = "Funding Information: This work was supported by the Engineering and Physical Sciences Research Council (EPSRC), UK through funding under grant EP/M023869/1 “Novel context-based segmentation algorithms for intelligent microscopy” (https://www.epsrc.ac.uk/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This work was supported by the Engineering and Physical Sciences Research Council (EPSRC), UK through funding under grant EP/M023869/1 “Novel context-based segmentation algorithms for intelligent microscopy”. Publisher Copyright: {\textcopyright} 2017 Fouad et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
year = "2017",
month = nov,
doi = "10.1371/journal.pone.0188717",
language = "English",
volume = "12",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "11",
}