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01-02-2012 | Original Paper

An Improved Medical Decision Support System to Identify the Breast Cancer Using Mammogram

Authors: Muthusamy Suganthi, Muthusamy Madheswaran

Published in: Journal of Medical Systems | Issue 1/2012

Abstract

An improved Computer Aided Clinical Decision Support System has been developed to classify the tumor and identify the stages of the cancer using neural network and presented in this paper. The texture and shape features have been extracted and the optimal feature set has been obtained using multiobjective genetic algorithm (MOGA). The multilayer back propagation neural network with Ant Colony Optimization and Particle Swarm Optimization has been used. The accuracy of the proposed system has been verified and found that the accuracy of 99.5% can be achieved. The proposed system can provide valuable information to the physicians in clinical pathology.

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Title: An Improved Medical Decision Support System to Identify the Breast Cancer Using Mammogram
Authors: Muthusamy Suganthi
Muthusamy Madheswaran
Publication date: 01-02-2012
Publisher: Springer US
Published in: Journal of Medical Systems / Issue 1/2012
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-010-9448-5

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An Improved Medical Decision Support System to Identify the Breast Cancer Using Mammogram

Abstract

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