A Research on Breast Cancer Detection using Mammography
Shreevijay S Ittannavar1, Raviraj H Havaldar2, Bhavaling Alias Pratima Khot3
1Shreevijay S Ittannavar, Electronics and Communication Engineering, Hirasugar Institute of Technology, Nidasoshi, India.
2R H Havaldar, Biomedical Engineering, KLE MS Sheshgiri College of Engineering and Technology, Belagavi, India.
3B. P. Khot, Electronics and Communication Engineering, Hirasugar Institute of Technology, Nidasoshi, India.
Manuscript received on October 15, 2019. | Revised Manuscript received on 25 October, 2019. | Manuscript published on November 10, 2019. | PP: 3459-3463 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4904119119/2019©BEIESP | DOI: 10.35940/ijitee.A4904.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The digital mammogram has developed as the standard screening approach for breast cancer detection and further defects in human breast tissue problem. Early detection is an efficient manner to decrease mortality in worldwide. In the past decades, several researchers implemented many methods to consistently identify the breast cancer by mammogram images. Those methods were employed to produce systems to support radiologists and physicians attain more accurate diagnosis. Accurate segmentation and classification of various tumors in the mammography plays a complex role in the early diagnosis of breast cancer. This paper defines the research on Breast Cancer Detection (BCD) methods which includes two major steps such as segmentation and classification. This research presented the different types of BCD methods with their main contributions. Additionally, it assists the researchers in the area of breast cancer detection by providing the basic knowledge and common understanding of the newest BCD methods.
Keywords: Breast cancer, Classification, Mammogram, Segmentation, and Radiologists.
Scope of the Article: Classification