Using Soft Clustering and Dempster-Shafer Method for Liver Cancer Diagnosis

Abstract

One of the most practical ways to improve the accuracy is to use data fusion methods in data mining techniques. The use of clustering techniques by considering the theories that cover the uncertainty in these techniques can lead to solving clustering problems, especially in cancer diagnosis. One of the common cancers that cause many deaths is liver cancer. Unfortunately, in recent years, the probability of getting this cancer has increased greatly. To identify the liver tumor, image segmentation technique is performed on CT scan images. Successful treatment of liver cancer requires accurate diagnosis of liver abnormalities. To achieve this goal, techniques based on automatic and semi-automatic detection are effective. The method proposed in this article has high accuracy and convergence speed.