Global Journal of Science Frontier Research, A: Physics and Space Science, Volume 22 Issue 1

© 2022. Samuel Yemoh Tetteh-Abaku, Calvin Kwesi Gafrey & Moses Jojo Eghan. This research/review article is distributed under the terms of the Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). You must give appropriate credit to authors and reference this article if parts of the article are reproduced in any manner. Applicable licensing terms are at https:// creativecommons.org/licenses/by-nc-nd/4.0/. Global Journal of Science Frontier Research: A Physics and Space Science Volume 22 Issue 1 Version 1.0 Year 2022 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Online ISSN: 2249-4626 & Print ISSN: 0975-5896 Segmentation of Cancerous Mammography using MATLAB By Samuel Yemoh Tetteh-Abaku, Calvin Kwesi Gafrey & Moses Jojo Eghan Abstract- Breast cancer is one of the main causes of cancer death in women. Detection is efficiently performed by using digital mammograms. Small clusters of micro calcifications appearing as a collection of white spots on mammograms show an early warning of breast cancer. Early detection performed on X-ray mammography is the key to improving breast cancer diagnosis. To increase radiologists’ diagnostic performance, several computer-aided diagnosis (CAD) schemes have been developed to improve the detection of primary identification of this disease. In this research, an attempt is made to develop an adaptive K-means clustering algorithm for breast image segmentation to detect microcalcifications. The method was tested over several images of image databases taken from Mammocare, Ghana for cancer research and diagnosis. The algorithm works faster so that any radiologist can take a clear decision about the appearance of microcalcifications by visual inspection of digital mammograms and detection accuracy has also improved as compared to some existing works. GJSFR-A Classification: FOR Code: 249999 SegmentationofCancerousMammographyusingMATLAB Strictly as per the compliance and regulations of: