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DOI: 10.14569/IJACSA.2017.080917
PDF

Effectiveness of Existing CAD-Based Research Work towards Screening Breast Cancer

Author 1: Vidya Kattepura
Author 2: Dr. Kurian M Z

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 9, 2017.

  • Abstract and Keywords
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Abstract: Accurate detection as well as classification of the breast cancer is still an unsolved question in the medical image processing techniques. We reviewed the existing Computer Aided Diagnosis (CAD)-based techniques to find that there has been enough work carried out towards both detection as well as classification of the breast cancer; however, all the existing techniques were implemented in highly controlled research environment. The prime contribution of this paper is it reviews some of the significant journals published during 2005–2016 and discusses its effectiveness thoroughly. The paper finally discusses about the open research issues that require a serious attention from the research community in order to address the existing issues. At the end, the paper makes some suggestion for carrying out future work direction in order to bridge the research gap explored from the existing system.

Keywords: Breast cancer detection; computer aided diagnosis; cancer; classification

Vidya Kattepura and Dr. Kurian M Z, “Effectiveness of Existing CAD-Based Research Work towards Screening Breast Cancer” International Journal of Advanced Computer Science and Applications(IJACSA), 8(9), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080917

@article{Kattepura2017,
title = {Effectiveness of Existing CAD-Based Research Work towards Screening Breast Cancer},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080917},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080917},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {9},
author = {Vidya Kattepura and Dr. Kurian M Z}
}



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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