A Novel Digital Image Processing based Mechanism for Liver Tumor Diagnosis

The liver is the most significant internal organ in the human body's abdomen. A person cannot survive without a healthy liver. Liver cancer is a life-threatening illness, difficult to detect by biomedical engineering technicians. Hepatocellular carcinoma (HCC) is the most common type of liver cancer which makes up 75% of cases. Plenty of people with liver tumors have lost their lives because of poor and late detection. Hence it is far essential to discover the tumor at an early stage. So, the principal intention is to detect liver cancer at an earlier stage using the image processing technique. Here the tumors are detected from Magnetic Resonance Imaging images. The image undergoes image pre-processing and is segmented by a hybrid method consisting of the edge and mask method, which is simple and easy to use. Detected tumors are further categorized into the cyst, adenoma, hemangioma, and malignant tumor based on statistical features. The scope of this propounded technique is to highlight and categorized the tumor region present in the Magnetic Resonance Imaging images.