A Neural Network Decision-Support Tool for the Diagnosis of Breast Cancer
Downs, J., Harrison, R.F. and Cross, S.
(1994)
A Neural Network Decision-Support Tool for the Diagnosis of Breast Cancer.
Research Report.
ACSE Research Report 548
.
Department of Automatic Control and Systems Engineering
Abstract
An application of the ARTMAP neural network to the diagnosis of breast cancer is described. Performance results are given for 10 individual ARTMAP networks and the five most accurate such networks using "pooled" decision making (the so-called voting strategy). The results are compared with those of expert and neophyte human pathologists. These show that ARTMAP diagnoses are at least as accurate as those of the expert and can approach the optimum for the domain. However, human pathologists bias their predictions in order to minimise false positive predictions at the expense of increased false negatives. The same effect is achieved in ARTMAP by pruning category cluster nodes which make positive predictions.........
Metadata
Item Type:
Monograph
Authors/Creators:
Downs, J.
Harrison, R.F.
Cross, S.
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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