Survey on Automatic Liver Segmentation Techniques from Abdominal CT Images
Swapnil V. Vanmore, Sangeeta R. Chougule · 2019
Liver cancer is one of the terminal noncommunicable diseases. These metastatic diseases of the liver are causing each year to increase the number of deaths worldwide. World Health Organization (WHO) states that liver cancer is alone responsible for about 788000 deaths. The automatic segmentation methods have been used to improve the accuracy, a however technique with high accuracy for detection of liver deformity is highly essential. In this survey paper, a comparative analysis is carried out illuminating the benefits and drawbacks of numerous available technologies. The paper concentrates on scrutinizing the applicability of available techniques of liver segmentation of CT images. The prime purpose of this paper is to highlight the condition automated technologies that to develop novel technologies to solve case problems in the medical field.