Segmentation of Liver from images of Visceral Organs through Automatic Processing – A review

Abstract: Automatic organ segmentation is an upcoming new field of research in image processing. The extraction of liver image for the diagnosis of its structural defective details is a difficult task for medical experts. Automatic extraction which is known as segmentation by computer processing may minimize the burden as well as time consuming. Several methods have been suggested for the above image segmentation particularly liver image capture. This present paper reviews the various methods. In addition it also discuss the merits and merits of the image processing procedures described in the current literature. This review may help to find a new scientific solution to overcome the issues addressed by the users and innovate new approach for the automatic liver segmentation from abdominal CT scan digital image pool.

Keywords: Automatic Liver Segmentation, Methods of Image Segmentation, Extraction.