A Decision-Support Tool for the Diagnosis of Breast Cancer Based upon Fuzzy ARTMAP
Downs, J., Harrison, R.F., Cross, S. et al. (1 more author)
(1995)
A Decision-Support Tool for the Diagnosis of Breast Cancer Based upon Fuzzy ARTMAP.
Research Report.
ACSE Research Report 605
.
Department of Automatic Control and Systems Engineering
Abstract
This paper presents research into the application of the fuzzy ARTMAP neural network model to the diagnosis of cancer from fine-needle aspirates of the breast. Trained fuzzy ARTMAP networks are differently pruned so as to maximise accuracy, sensitivity and specificity. The differently pruned networks are then employed in a "cascade" of networks intended to separate cases into "certain" and "suspicious" classes. This mimics the predictive behaviour of a human pathologist. The fuzzy ARTMAP model also provides symbolic rule extraction facilities and the validity of the derived rules for this domain is discussed. Additionally, results are provided showing the effects upon network performance of different input features and different observers. The implications of the findings are discussed.
Metadata
Item Type:
Monograph
Authors/Creators:
Downs, J.
Harrison, R.F.
Cross, S.
Kennedy, R. Lee.
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
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