The University of Southampton
University of Southampton Institutional Repository

A Conceptual Graph Description of Medical data for Brain Tumour Classification

Croitoru, Madalina, Hu, Bo, Dasmahapatra, Srinandan, Lewis, Paul, Dupplaw, David and Xiao, Liang (2007) A Conceptual Graph Description of Medical data for Brain Tumour Classification At Proc. 15th International Conference on Conceptual Structures: Knowledge Architectures for Smart Applications, United Kingdom. , pp. 140-153.

Record type: Conference or Workshop Item (Paper)

Abstract

HealthAgents proposes an agent-based distributed decision support system for brain tumour diagnosis and prognosis which employs Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy techniques and genomic profiles. From a knowledge representation view point the distributed nature and the heterogeneity of the data to be integrated pose a number of challenging problems. This paper shows how Conceptual Graphs can be employed to describe the data sources in the HealthAgents system. Such knowledge representation based description of data allows for reasoning power when querying and for data modularisation capabilities.

PDF A_Conceptual_Graph_Description_of_Medical_Data_for_Brain_Tumour_Classification.pdf - Other
Download (283kB)

More information

Published date: July 2007
Additional Information: Event Dates: 2007
Venue - Dates: Proc. 15th International Conference on Conceptual Structures: Knowledge Architectures for Smart Applications, United Kingdom, 2007-01-01
Organisations: Web & Internet Science, Southampton Wireless Group

Identifiers

Local EPrints ID: 267045
URI: http://eprints.soton.ac.uk/id/eprint/267045
ISBN: 978-3-540-73680-6
PURE UUID: 6e4d7ef0-76df-4d56-bfc2-55243e2c19c8

Catalogue record

Date deposited: 20 Jan 2009 12:10
Last modified: 18 Jul 2017 07:09

Export record

Contributors

Author: Madalina Croitoru
Author: Bo Hu
Author: Paul Lewis
Author: David Dupplaw
Author: Liang Xiao

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×