Breast Cancer Detection Using Neutrosophic Logic

Abstract

The breast cancer is a very common finding disease among women now-a-days. Approximately, over 10 lakhs women in the world are affected by breast cancer. There are various methods to diagnosis and detect the breast cancer. The existing method is to detect the breast cancer using Fuzzy c means algorithm and AdaBoost algorithm. These features had some disadvantages that inability to provide indeterminate values and provide noise in images. In order to overcome these problems, we proposed a new method. In this proposed system, theneutrosophic logic and SVM classifier is used. By using these features, the indeterminate values are identified easily and extraction of hottest region is easily carried out in thermal breast images. This thermal breast images are captured by using high resolution infrared (IR) cameras.