Assessment of Breast Cancer Detection and Implementation
Kakara Deepika1, B. Leela Kumari2

1Kakara Deepika, Electronics & communication, UCEK, JNTUK, Kakinada, India.
2Dr. B. Leela Kumari, Electronics & communication, UCEK, JNTUK, Kakinada, India.
Manuscript received on 29 August 2019. | Revised Manuscript received on 08 September 2019. | Manuscript published on 30 September 2019. | PP: 323-330 | Volume-8 Issue-11, September 2019. | Retrieval Number: K13350981119/2019©BEIESP | DOI: 10.35940/ijitee.K1335.0981119
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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: Breast Cancer is the most dangerous and life threatening disease. Of all kinds of cancers, Breast cancer is the second major cause of deaths and especially the first major cause of deaths in women. In this project, images are taken from medical representativess in order to implement a real time project. This methodology aims at diagnosing Breast Cancer at an earlier stage by considering progressive algorithms. In this methodology, a mammogram image is considered. To this image sample, image segmentation technique is applied which separates fore-ground regions from the background regions. Later, Binarization technique is used to enrich the contrast of the image in order to make it more desirable for finding the tumour cell location within the affected area. Median filter is used for removing noise within the image. To the noise free images, some statistical parameters viz., mean, variance, Standard deviation, Mean Square error and entropy are calculated to analyze the performance.
Keywords: Segmentation, Binarization, Carcinoma, Mammogram, ANOVA.
Scope of the Article: