@article{1fb14153f66f4b779c586b0139512556,
title = "Tumour parcellation and quantification (TuPaQ): a tool for refining biomarker analysis through rapid and automated segmentation of tumour epithelium",
keywords = "biomarker analysis, colorectal cancer, image segmentation, machine learning, parcellation",
author = "Abdelsamea, {Mohammed M.} and Grineviciute, {Ruta B.} and Justinas Besusparis and Sulayman Cham and Alain Pitiot and Arvydas Laurinavicius and Mohammad Ilyas",
note = "Funding Information: The authors acknowledge financial support from the EC Marie Curie Actions, AIDPATH project (Contract no. 612471) and Nottingham Molecular Pathology Node (NMPN). Publisher Copyright: {\textcopyright} 2019 John Wiley & Sons Ltd",
year = "2019",
month = jun,
doi = "10.1111/his.13838",
language = "English",
volume = "74",
pages = "1045--1054",
journal = "Histopathology",
issn = "0309-0167",
publisher = "Wiley",
number = "7",
}