Background: The application of image processing algorithms for medical image analysis has
been found effectual in the past years. Imaging techniques provide assistance to the …

Liver is most important organ in human body. Mainly there are two types of liver cancers-
“liver abscess (LA), and hepatocellular carcinoma (HCC)”. Computed tomography (CT) is …

The goal of this research is to assess the presentation of convolutional Neural Network
(CNN) and SVM cla ssifiers in the new liver segmentation categorization using CT images …

The liver is essential for endurance and to carry out a large number of significant functions,
including manufacture of indispensable proteins, and metabolism of fats and carbohydrates …

Computed Tomographic (CT) imaging is extensively implemented for liver tumor
visualization and detection. Computer aided image processing algorithms can provide aid to …

This paper describes the application of machine learning algorithms in detecting the liver
lesion from abdominal CT images. Liver lesions are usually detected by different imaging …

Computed tomography (CT) images are commonly used to diagnose liver disease. It is
sometimes very difficult to comment on the type, category and level of the tumor, even for …

Liver cancer is caused due to chronic hepatitis B or C infections, obesity, alcohol, diabetes
and hemochromatosis. Computed Tomography (CT) helps the physician to visualize the …

Liver cancer has been known as one of the deadliest diseases. It has become a major
health issue in the world over the past 30 years and its occurrence has increased in the …

In this paper will be described a new method of automatic segmentation of inflammation and
neoplastic hepatic disease symptoms, visible in computed-tomography (CT) images. The …