Review on diagnosis and classification of liver cancer.

Liver cancer is nothing but a malignant tumor that spread either on the surface or inside the liver. It is the sixth most prevalent kind of cancer overall in the globe. Hepatocellular carcinoma is the third most prevalent cancer in the world that results in mortality and the ninth most common cancer overall. Hepatocellular carcinoma is a liver cancer illness that is quiet and slow-growing in its early stages. In this review, detection and classification liver cancer (HCC) briefly discussed, in comparison with existing algorithms and techniques; we furthermore address several general challenges in liver cancer detection as well as in critical research issues and challenges in diagnosis of HCC, including prerequisite of manual system impairments and risk factors. Non-invasive liver cancer detection might help to find the severity of liver cancer or stages that will be useful as an early opinion for the physicians. An automated system to reduce flaws of manual system implemented. Hence, doctors can use a patient's cancer stage to determine treatment plan for the patient ultimately increases the patients' chance of getting treatment and decreases the mortality rate due to liver cancer. Integrating multi-modal images not only helps with accurate diagnosis and analysis but also lowers storage costs. [ABSTRACT FROM AUTHOR]