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 …

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 …

Network (ANN) and Support Vector Machine (SVM) for liver cancer classification. The
performance of both models is compared and validated on BUPA Liver Disorder Dataset in …

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 …

The purpose of this study is to compare the performance of Back-Propagation Neural
Network and Support Vector Machine (SVM) for liver cancer classification. The performance …

The liver is an important and multifunctional human organ. Early and accurate diagnosis of a
liver tumor can save lives. Computed Tomography (CT) images provide comprehensive …

The liver tumor is one of the most foremost critical causes of death in the world. Nowadays,
Medical Imaging (MI) is one of the prominent Computer Vision fields (CV), which helps …

Classification techniques have been widely used in the medical field for accurate
classification than an individual classifier. This paper presents computational intelligence …

For more effective therapy, it's critical to get an early diagnosis of liver illness. Due to the
disease's modest symptoms, it is a very difficult challenge for medical experts to forecast the …

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 …