International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Diagnosis of Breast Cancer using SOM Neural Network, Authors : Praveen C. Shetiye, Ashok A. Ghatol, Vilas N. Ghate, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 4, Issue 5(1), September - October 2015

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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