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One of the major organs in the body is liver where tumors occur often. Malignant liver tumors pose a serious hazard to human life and health. Manual segmentation of the liver organ and tumor from computed tomography (CT) scans is difficult, time-consuming, and skewed to the clinician's experience, yet it is essential for hepatic surgical planning. However, due to the following considerations, segmenting liver tumors from computed tomography (CT) images is difficult: In CT pictures, the contrast between the liver tumor and healthy tissues is low, and the boundary is indistinct; the picture of the liver tumor is confusing, with a wide range of size, shape, and location. Since there have been a lot of medical imaging techniques with their own advantages and disadvantages over the years, such as MRI, Ultra-sonography (US), Computed Tomography (CT), so on and so forth, CT is often preferred due to its high sensibility (93 %) and specificity (93 %), where CT is often preferred due to its high specificity (93 %) (100 %).