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Clustered ensemble neural network for breast mass classification in digital mammography

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conference contribution
posted on 06.12.2017, 00:00 by NULL McLeodNULL McLeod, Brijesh VermaBrijesh Verma
This paper proposes the creation of an ensemble neural network by incorporating a k-means classifier. This technique is designed to improve the classification accuracy of a multi-layer perceptron style network for mass classification of digital mammograms. The proposed technique has been tested on a benchmark database and the results have been contrasted with current research. The experimental results demonstrate that the accuracy of the proposed technique is comparable with existing systems.

History

Start Page

1266

End Page

1271

Number of Pages

6

Start Date

01/01/2012

Finish Date

01/01/2012

ISBN-13

9781467314909

Location

Brisbane, Qld., Australia

Publisher

IEEE

Place of Publication

USA

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Centre for Intelligent and Networked Systems (CINS); Institute for Resource Industries and Sustainability (IRIS);

Era Eligible

Yes

Name of Conference

IEEE World Congress on Computational Intelligence;IEEE International Joint Conference on Neural Networks