Segmentation of liver tumors from Computerized Tomography (CT) images remains a challenge due to the natural variation in tumor shape and structure as well as the noise in CT images. A key assumption is that the performance of liver tumor segmentation depends on the characteristics of multiple features extracted from multiple filters. In this paper. we design an enhanced approach base... https://www.roneverhart.com/Mizuno-Prospect-GXC105-Youth-Catcher-s-Mitt/