Title :
Artificial neural networks for use in the diagnosis and treatment of breast cancer
Author :
Brandt, Jim ; Harris, C. Thomas
Abstract :
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
Keywords :
content-addressable storage; learning (artificial intelligence); medical diagnostic computing; medical expert systems; neural nets; patient diagnosis; patient treatment; splines (mathematics); Adaptive Spline Modelling of Observation Data; associative memory neural networks; breast cancer diagnosis; breast cancer treatment; constructive learning algorithm; high-dimensional approximator neural network; high-dimensional model generation; intelligent oncology workstation; intelligent systems; patient therapy;
Conference_Titel :
Artificial Neural Networks, 1995., Fourth International Conference on
Conference_Location :
Cambridge
Print_ISBN :
0-85296-641-5
DOI :
10.1049/cp:19950598
