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Artificial Neural Networks for use in the Diagnosis and Treatment of Breast Cancer

Record type: Conference or Workshop Item (Other)

In this paper an outline is given of a modelling approach, using Associative Memory Neural Networks (AMNNs), to be used in an intelligent oncology workstation for the improved treatment and diagnosis of breast cancer. This intelligent systems approach is intended to assist in the provision of the most suitable treatment and therapy for breast cancer patients and to seek to add to knowlege in this vital area to yield improved diagnositc and treatment techniques. A major component of the system is a high-dimensional approximator AMNN based on the Adaptive Spline Modelling of Observation Data (ASMOD) algorithm of Kavli which is a constructive learning algorithm used to automatically generate high-dimensional models.

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Citation

Bridgett, N.A., Brandt, J. and Harris, C.J. (1995) Artificial Neural Networks for use in the Diagnosis and Treatment of Breast Cancer At 4th Int. Conf. on Artificial Neural Networks. , 448--453.

More information

Published date: June 1995
Additional Information: Conf. Pub. No. 409 Organisation: IEE Address: Cambridge, UK
Venue - Dates: 4th Int. Conf. on Artificial Neural Networks, 1995-06-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250241
URI: http://eprints.soton.ac.uk/id/eprint/250241
PURE UUID: f40ac09e-5f86-416e-a103-34dca0738d8a

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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