INDAH INZANI SEPTA (2013) SEGMENTASI MAMOGRAFI KANKER PAYUDARA DENGAN ALGORITMA EXPECTATION MAXIMIZATION SEGMENTATION (EM-SEGMENTATION) UNTUK PENGENALAN AREA KANKER PAYUDARA. Skripsi thesis, UNIVERSITAS ISLAM NEGERI SULTAN SYARIEF KASIM RIAU.

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Abstract

Cancer is the leading cause of death in humans. One of the causes of death are cancer is breast cancer. Breast cancer is cancer that occurs in the breast due to the uncontrolled growth of the cells of the glands and channels, thus damaging surrounding organs or tissues and the dissemination of the body gets. To assist the Radiolog and Physician expert radiologist in detecting cancer, patients can perform mammography. Mammography is an inspection using X-rays that give an overview of soft tissue in the breast. In the field of medicine. Radiologists often have difficulty in observing the results Mammography raw image, because the image produced has a degree of gray so it is difficult to see clearly the introduction section area of cancer. To overcome this necessary image processing operations. One of the image processing is segmentation. Mammography in the image segmentation is the process of clarifying and sharpening characteristics or features of the image that is segmented by division Cluster. Mammography in the image segmentation using Expectation maximization algorithm Segmentation. After testing a number of clusters and based on a view Doctors, image segmentation is produced image is segmented in several clusters. Among Cluster is an introduction to the location of the cancer area. Among Cluster is an introduction to the location of the cancer area. Based on testing Physicians Radiology, good segmentation results are in Cluster 5, with crimson and orange areas of cancer spread.

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