Breast Cancer Detection Using Fuzzy C-Means | Original Article

ABSTRACT:

The Fuzzy C-means (FCM) algorithm is one of the most powerful algorithms used in numerous experiments that attempts to segment various types of population, and hence it can be used as a method capable of assisting physicians in early breast cancer diagnosis. In this article, a method based on the FCM algorithm is proposed for extracting clusters of various type of cancers from information gathered through electrical impedance calculation. The proposed approach aims to create clusters dependent on different characteristics such as impedance at zero frequency, among others. Once clusters have been formed, new values may be plotted on the graph, and the type of cancer a person might be suffering from can be determined based on the location of the projection.