A Neurofuzzy Route to Breast Cancer Diagnosis and Treatment
Bridgett, N.A., Brandt, J. and Harris, C.J. (1995) A Neurofuzzy Route to Breast Cancer Diagnosis and Treatment. FUZZ-IEEE/IFES'95 , 641-648.
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In this paper an outline is given of a modelling approach, using neurofuzzy networks, to be used in an intelligent oncology workstation for the improved treatment and diagnosis of breast cancer. This neurofuzzy approach is intended to assist in the provision of the most suitable treatment and therapy for the individual patient in this important medical domain and to seek to add to knowlege in this vital area to yield improved diagnositc and treatment techniques. The major component of the system is a high-dimensional approximator neurofuzzy network (Adaptive Spline Modelling of Observation Data or ASMOD) which is a constructive learning algorithm used to automatically generate high-dimensional approximations and to identify complex relationships between input variables and the measured output to form models which may be interpreted as sets of linguistic fuzzy rules.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Additional Information:||Address: Yokahama, Japan|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||04 May 1999|
|Last Modified:||27 Mar 2014 19:51|
|Further Information:||Google Scholar|
|ISI Citation Count:||2|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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