Bridgett, N.A., Brandt, J. and Harris, C.J.
Artificial Neural Networks for use in the Diagnosis and Treatment of Breast Cancer
At 4th Int. Conf. on Artificial Neural Networks.
Full text not available from this repository.
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.
Conference or Workshop Item
||Conf. Pub. No. 409 Organisation: IEE Address: Cambridge, UK
|Venue - Dates:
||4th Int. Conf. on Artificial Neural Networks, 1995-06-01
||Southampton Wireless Group
||04 May 1999
||18 Apr 2017 00:23
|Further Information:||Google Scholar|
Actions (login required)