Volume & Issue no: Volume 4, Issue 5(1), September - October 2015
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Title: |
Diagnosis of Breast Cancer using SOM Neural Network |
Author Name: |
Praveen C. Shetiye, Ashok A. Ghatol, Vilas N. Ghate |
Abstract: |
Abstract
A neural network system is designed and optimize to analyze
the quantitative data from the impedance spectrum from
where the breast tissue features are computed. These data
was used to predict and classify the breast cancer Car
(carcinoma), fad (fibro-adenoma+ mastopathy + glandular),
Con (connective), Adi (adipose). The performance of an
artificial neural network (ANN) is verified with nine
quantitative parameters computed from Impedance
measurements. The Self Organizing Feature Map (SOM)
network is trained using the different data partitioning
methods and tested its performance on seen and unseen data
in terms of classification accuracy, MSE and correlation
coefficient. The network is yielded better classification
accuracy (93.75%) with testing and cross validation MSE of
0.00044 and 0.00025 respectively.
Index Terms:- Breast cancer, Electrical impedance, SOM |
Cite this article: |
Praveen C. Shetiye, Ashok A. Ghatol, Vilas N. Ghate , "
Diagnosis of Breast Cancer using SOM Neural Network" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 5(1), September - October 2015 , pp.
051-055 , ISSN 2278-6856.
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