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A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents

Published online by Cambridge University Press:  28 July 2011

Carlos Sáez ,
Juan Miguel García-Gómez ,
Javier Vicente ,
Salvador Tortajada ,
Jan Luts ,
David Dupplaw ,
Sabine Van Huffel  and
Montserrat Robles
Carlos Sáez*
Affiliation:
Grupo de Informática Biomédica, Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universidad Politécnica de Valencia, Edificio 8G, Camino de Vera s/n, 46022 Valencia, España; e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
Juan Miguel García-Gómez*
Affiliation:
Grupo de Informática Biomédica, Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universidad Politécnica de Valencia, Edificio 8G, Camino de Vera s/n, 46022 Valencia, España; e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
Javier Vicente*
Affiliation:
Grupo de Informática Biomédica, Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universidad Politécnica de Valencia, Edificio 8G, Camino de Vera s/n, 46022 Valencia, España; e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
Salvador Tortajada*
Affiliation:
Grupo de Informática Biomédica, Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universidad Politécnica de Valencia, Edificio 8G, Camino de Vera s/n, 46022 Valencia, España; e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
Jan Luts*
Affiliation:
Department of Electrical Engineering (ESAT), Research Division SCD, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Leuven, Belgium; e-mail: [email protected], [email protected]
David Dupplaw*
Affiliation:
Intelligence, Agents, Multimedia Group, School of Electronics and Computer Science, University of Southampton, Highfield, Southampton, SO17 1BJ, UK; e-mail: [email protected]
Sabine Van Huffel*
Affiliation:
Department of Electrical Engineering (ESAT), Research Division SCD, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Leuven, Belgium; e-mail: [email protected], [email protected]
Montserrat Robles*
Affiliation:
Grupo de Informática Biomédica, Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universidad Politécnica de Valencia, Edificio 8G, Camino de Vera s/n, 46022 Valencia, España; e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
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Abstract

New biomedical technologies enable the diagnosis of brain tumours by using non-invasive methods. HealthAgents is a European Union-funded research project that aims to build an agent-based distributed decision support system (dDSS) for the diagnosis of brain tumours. This is achieved using the latest biomedical knowledge, information and communication technologies and pattern recognition (PR) techniques. As part of the PR development of HealthAgents, an independent and automatic classification framework (CF) has been developed. This framework has been integrated with the HealthAgents dDSS using the HealthAgents agent platform. The system offers (1) the functionality to search for distributed classifiers to solve specific questions; (2) automatic classification of new cases; (3) instant deployment of new validated classifiers; and (4) the ability to rank a set of classifiers according to their performance and suitability for the case in hand. The CF enables both the deployment of new classifiers using the provided Extensible Markup Language1 classifier specification, and the inclusion of new PR techniques that make the system extensible. These features may enable the rapid integration of PR laboratory results into industrial or research applications, such as the HealthAgents dDSS. Two classification nodes have been deployed and they currently offer classification services by means of dedicated servers connected to the HealthAgents agent platform: one node being located at the Katholieke Universiteit Leuven, Belgium and the other at the Universidad Politécnica de Valencia, Spain. These classification nodes share the current set of brain tumour classifiers that have been trained from in vivo magnetic resonance spectroscopy data. The combination of the CF with a distributed agent system constitutes the basis of the brain tumour dDSS developed in HealthAgents.

Type
Articles
Information
The Knowledge Engineering Review , Volume 26 , Special Issue 3: Computational Intelligence for Neuro-Oncological Diagnosis , 28 July 2011 , pp. 283 - 301
Copyright
Copyright © Cambridge University Press 2011

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