Clustered Ensemble Neural Network for Breast Mass Classification in Digital Mammography

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

Clustered ensemble neural network for breast mass classification in digital mammography

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