Deteksi Otomatis Kanker Payudara Menggunakan Metode Morphological Reconstruction Dengan K-Means Clustering Pada Citra Mri

Abstract

Breast cancer is still a major health problem for women around the world, the population of Indonesia is 237.8 million in 2010 and detected by cancer patients is estimated at 1.02 million. The purpose of this study is to reconstruct the image of the MRI scan to clarify the object of cancer so that it can be more easily identified whether a person really has breast cancer or not, in this study using the morphological reconstruction method with the k-means algorithm to segment the image, the results obtained sensitivity of around 92.86%, specificity of 78.57%, and accuracy of 85.71%.