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A Neurofuzzy Route to Breast Cancer Diagnosis and Treatment

Bridgett, N.A., Brandt, J. and Harris, C.J. (1995) A Neurofuzzy Route to Breast Cancer Diagnosis and Treatment At FUZZ-IEEE/IFES'95. , pp. 641-648.

Record type: Conference or Workshop Item (Other)

Abstract

In this paper an outline is given of a modelling approach, using neurofuzzy networks, to be used in an intelligent oncology workstation for the improved treatment and diagnosis of breast cancer. This neurofuzzy approach is intended to assist in the provision of the most suitable treatment and therapy for the individual patient in this important medical domain and to seek to add to knowlege in this vital area to yield improved diagnositc and treatment techniques. The major component of the system is a high-dimensional approximator neurofuzzy network (Adaptive Spline Modelling of Observation Data or ASMOD) which is a constructive learning algorithm used to automatically generate high-dimensional approximations and to identify complex relationships between input variables and the measured output to form models which may be interpreted as sets of linguistic fuzzy rules.

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More information

Published date: March 1995
Additional Information: Address: Yokahama, Japan
Venue - Dates: FUZZ-IEEE/IFES'95, 1995-03-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250238
URI: http://eprints.soton.ac.uk/id/eprint/250238
PURE UUID: 92400903-f04e-4a28-8afc-7eb811a49e1d

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

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