A Neurofuzzy Route to Breast Cancer Diagnosis and Treatment
A Neurofuzzy Route to Breast Cancer Diagnosis and Treatment
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 knowledge in this vital area to yield improved diagnostic 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.
641-648
Bridgett, N.A.
25b96061-a19f-46cf-bef4-b63b56fb5fe1
Brandt, J.
fe36e0bd-893a-4b42-86f6-d0b6c183b8db
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
March 1995
Bridgett, N.A.
25b96061-a19f-46cf-bef4-b63b56fb5fe1
Brandt, J.
fe36e0bd-893a-4b42-86f6-d0b6c183b8db
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Bridgett, N.A., Brandt, J. and Harris, C.J.
(1995)
A Neurofuzzy Route to Breast Cancer Diagnosis and Treatment.
FUZZ-IEEE/IFES'95.
.
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 knowledge in this vital area to yield improved diagnostic 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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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
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Date deposited: 04 May 1999
Last modified: 22 Jul 2022 17:55
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Contributors
Author:
N.A. Bridgett
Author:
J. Brandt
Author:
C.J. Harris
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