Liver tumor segmentation from computed tomography (CT) images is a critical and
challenging task. Due to the fuzziness in the liver pixel range, the neighboring organs of the …

Liver cancer is one of the most popular cancer diseases and causes a large amount of death
every year. The chances for liver cancer in men and women have increased to 40% and …

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 …

The liver is necessary for survival and is also prone to many diseases. CT examinations can
be used to plan and properly administer radiation treatments for tumors and to guide …

The review paper describes the various image processing techniques for automatic
detection of tumor in human liver. Without a healthy liver a person cannot survive. It is a life …

In this paper, an efficient atlas based approach for multiple abdominal organ segmentation
is presented. This automatic segmentation of different organs such as spine, kidneys, liver …

In this paper, it is intended to enhance the simple region growing technique (RG) to extract
liver from the abdomen away from other organs in CT images. Iterative K-means clustering …

This paper proposes a segmentation method and a three-dimensional (3-D) volume
calculation method of cysts in kidney from a number of computer tomography (CT) slice …

The techniques behind Data mining play a significant task in health care field. The
techniques are mainly involved in prediction-based computing. A wide variety of algorithms …

Precise segmentation of liver tumors from computed tomography (CT) scans is a
prerequisite step in various clinical applications. Multi-phase CT imaging enhances tumor …