Artificial Intelligent Systems and Machine Learning

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Application of GIST-SVM in Detecting Breast Cancer


Affiliations
1 Department of Computer Applications, Dr. M.G.R University, Chennai-95, India
2 Department of Mathematics, Dr. M.G.R University, Chennai-95, India
3 Dr. M.G.R University, Chennai-95, India
     

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In this paper a classifier model is proposed to detect the different states of breast cancer. GIST-SVM is used to differentiate patients having benign and malignant cancer cells. To improve the accuracy of classification, the optimal size of the training sets are determined. To find the optimal size of the training set, different sizes of training sets are experimented and the one with highest classification rate is selected.

Keywords

Breast Cancer, Gist, Optimum Training Size, Pattern Classification, Support Vector Machines.
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  • Application of GIST-SVM in Detecting Breast Cancer

Abstract Views: 206  |  PDF Views: 4

Authors

S. Aruna
Department of Computer Applications, Dr. M.G.R University, Chennai-95, India
L. V. Nandakishore
Department of Mathematics, Dr. M.G.R University, Chennai-95, India
S. P. Rajagopalan
Dr. M.G.R University, Chennai-95, India

Abstract


In this paper a classifier model is proposed to detect the different states of breast cancer. GIST-SVM is used to differentiate patients having benign and malignant cancer cells. To improve the accuracy of classification, the optimal size of the training sets are determined. To find the optimal size of the training set, different sizes of training sets are experimented and the one with highest classification rate is selected.

Keywords


Breast Cancer, Gist, Optimum Training Size, Pattern Classification, Support Vector Machines.