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Reseach Article

Breast Cancer Detection using ART2 Model of Neural Networks

by Sonia Narang, Harsh K Verma, Uday Sachdev
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 5
Year of Publication: 2012
Authors: Sonia Narang, Harsh K Verma, Uday Sachdev
10.5120/9109-3261

Sonia Narang, Harsh K Verma, Uday Sachdev . Breast Cancer Detection using ART2 Model of Neural Networks. International Journal of Computer Applications. 57, 5 ( November 2012), 10-14. DOI=10.5120/9109-3261

@article{ 10.5120/9109-3261,
author = { Sonia Narang, Harsh K Verma, Uday Sachdev },
title = { Breast Cancer Detection using ART2 Model of Neural Networks },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 5 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number5/9109-3261/ },
doi = { 10.5120/9109-3261 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:01:18.506783+05:30
%A Sonia Narang
%A Harsh K Verma
%A Uday Sachdev
%T Breast Cancer Detection using ART2 Model of Neural Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 5
%P 10-14
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Breast cancer has become a major cause of death among women . To reduce breast cancer deaths the most effective way is to detect it earlier. Early diagnosis requires correct and reliable diagnosis procedure that will allows physicians to distinguish benign breast tumors from malignant ones. So, to find an accurate and effective diagnosis method is very important. This paper presents a system which detects the cancer stage using Adaptive Resonance theory (ART2) Neural Network . A vigilance parameter (vp) in ARN2 defines the stopping criterion and hence helps in manipulating the accuracy of the trained network. We see that at vp=0. 2 the network has Recall (i. e. true negative rate) is 75% and average Accuracy=82. 64% and Precision is 79%.

References
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Index Terms

Computer Science
Information Sciences

Keywords

ARNN ART1 ART2 Neural Networks Breast Cancer Detection