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DOI: 10.14569/IJACSA.2017.080423
PDF

An Enhanced Breast Cancer Diagnosis Scheme based on Two-Step-SVM Technique

Author 1: Ahmed Hamza Osman

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 4, 2017.

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Abstract: This paper proposes an automatic diagnostic method for breast tumour disease using hybrid Support Vector Machine (SVM) and the Two-Step Clustering Technique. The hybrid technique is aimed at improving the diagnostic accuracy and reducing diagnostic miss-classification, thereby solving the classification problems related to Breast Tumour. To distinguish the hidden patterns of the malignant and benign tumours, the Two-Step algorithm and SVM have been combined and employed to differentiate the incoming tumours. The developed hybrid method enhances the accuracy by 99.1% when examined on the UCI-WBC data set. Moreover, in terms of evaluation measures, it has been shown experimentally results that the hybrid method outperforms the modern classification techniques for breast cancer diagnosis.

Keywords: Two-Step Clustering; Breast Cancer; SVM classification; Diagnosis; Tumors

Ahmed Hamza Osman, “An Enhanced Breast Cancer Diagnosis Scheme based on Two-Step-SVM Technique” International Journal of Advanced Computer Science and Applications(IJACSA), 8(4), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080423

@article{Osman2017,
title = {An Enhanced Breast Cancer Diagnosis Scheme based on Two-Step-SVM Technique},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080423},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080423},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {4},
author = {Ahmed Hamza Osman}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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