@inproceedings{8f45f8ef92b745aa9bafee7b42f7b1a3,
title = "Unsupervised superpixel-based segmentation of histopathological images with consensus clustering",
keywords = "Consensus clustering, Histology, Histopathology, Image analysis, Superpixel segmentation",
author = "Shereen Fouad and David Randell and Antony Galton and Hisham Mehanna and Gabriel Landini",
note = "Funding Information: This work was supported by the EPSRC through funding under grant EP/M023869/1 ?Novel context-based segmentation algorithms for intelligent microscopy?. Publisher Copyright: {\textcopyright} The Author(s) 2017.; 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017 ; Conference date: 11-07-2017 Through 13-07-2017",
year = "2017",
language = "English",
isbn = "9783319609638",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "767--779",
editor = "{Valdes Hernandez}, Maria and Victor Gonzalez-Castro",
booktitle = "Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings",
}