Clustered Ensemble Neural Network for Breast Mass Classification in Digital Mammography

被引：0

作者：

Mc Leod, Peter ^{[1
]}

Verma, Brijesh ^{[1
]}

机构：

[1] Cent Queensland Univ, Rockhampton, Qld 4702, Australia

来源：

2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2012年

关键词：

clustering; classifier; neural network ensemble; digital mammograms; ALGORITHM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：6

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