Incorporating Local and Global Context for Better Automated Analysis of Colorectal Cancer on Digital Pathology Slides

Wright, AI, Magee, D, Quirke, P orcid.org/0000-0002-3597-5444 et al. (1 more author) (2016) Incorporating Local and Global Context for Better Automated Analysis of Colorectal Cancer on Digital Pathology Slides. In: Procedia Computer Science. 20th Conference on Medical Image Understanding and Analysis (MIUA 2016), 06-08 Jul 2016, Loughborough University, UK. Elsevier , pp. 125-131.

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Copyright, Publisher and Additional Information: © 2016. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: digital pathology; colorectal cancer; automated analysis; unsupervised segmentation; contextual analysis
Dates:
  • Published: 25 July 2016
  • Accepted: 4 May 2016
  • Published (online): 25 July 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 02 Aug 2016 13:52
Last Modified: 05 Oct 2017 15:38
Published Version: http://dx.doi.org/10.1016/j.procs.2016.07.034
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.procs.2016.07.034

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