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

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


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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Conf. Pub. No. 409 Organisation: IEE Address: Cambridge, UK
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
ePrint ID: 250241
Accepted Date and Publication Date:
June 1995Published
Date Deposited: 04 May 1999
Last Modified: 31 Mar 2016 13:50
Further Information:Google Scholar

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