Artificial neural networks for use in the diagnosis and treatment of breast cancer

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 knowledge in this vital area to yield improved diagnostic 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, 1993) which is a constructive learning algorithm used to automatically generate high-dimensional models.