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Neurofuzzy Modelling as Part of an Intelligent Oncology Workstation in Breast Cancer Treatment

Bridgett, N.A., Brandt, J. and Harris, C.J. (1995) Neurofuzzy Modelling as Part of an Intelligent Oncology Workstation in Breast Cancer Treatment At Int. Symp ICSC-ISFL'95. , C110-C115.

Record type: Conference or Workshop Item (Other)

Abstract

In this paper an outline is presented of a neurofuzzy modelling approach as part of an Multimedia Intelligent Oncology Workstation (MINOW) for the improved treatment and diagnosis of breast cancer. The core component of the system is a high-dimensional approximator neurofuzzy network, ASMOD, introduced by Kavli and implemented by researchers at the University of Southampton. This neurofuzzy constructive learning algorithm may be used to automatically generate high-dimensional approximations to identify complex, possibly hidden, relationships between selected input variables and the measured output. The resulting neurofuzzy models may be interpreted as sets of linguistic fuzzy rules. This work is essentially concerned with fuzzy and neurofuzzy model building as part of a workstation aimed at improving and standardising treatment protocols in the diagnosis and treatment of breast cancer.

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More information

Published date: May 1995
Additional Information: Organisation: ICSC Address: Zurich, Switzerland
Venue - Dates: Int. Symp ICSC-ISFL'95, 1995-05-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250239
URI: http://eprints.soton.ac.uk/id/eprint/250239
PURE UUID: e8ca0907-0b56-4ddc-bfe0-92f80edea50f

Catalogue record

Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:43

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Contributors

Author: N.A. Bridgett
Author: J. Brandt
Author: C.J. Harris

University divisions

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