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Liver cancer is the main source of death in the globe. Manual cancer tissue diagnosis is monotonous and troublesome. Hence, the paper fosters a high-exactness automatic diagnosis strategy for liver cancer growth. The image processing approach can utilize Computer Aided Diagnosis (CAD) for the arrangement of liver malignant growth to help the specialist. The CAD system is used to give a robotized approach to deal with successful arrangement of liver malignancy using feasible arrangements. Early affirmation and finding of liver growth are crucial for the space of liver cancers. Medical image processing is utilized to isolate tumors in a non-prominent way. Different strategies for recognizing liver tumors dependent upon abnormal lesion size and shape have been made. In like manner, automatic procedures for dividing the liver and liver tumors are pursued in clinical practice. This paper examines out a …