Detection of Liver Tumor by Using Digital Image Processing

The detection and diagnose of liver neoplasm from CT pictures by victimization DIP,is a trendy technique depends on victimization laptop additionally to textural associatealysis to get an correct liver identification,despite the strategies problem that came from liver position within the abdomen among the opposite organs.This technique can create the doc ready to sight the neoplasm easing treatment conjointly it facilitate physicians and radiologists to spot the the affected elements of the liver so as to shield the conventional elements the maximum amount as doable from exposure to radiation.This study describes a new 2nd liver segmentation technique for purpose of transplantation surgery as a treatment for liver tumors.liver segmentation isn't solely the key method for volume computation however conjointly basic for any process to induce additional anatomy data for individual patient.due to the last distinction,blurred edges,large variability in form & complicated context with muddle options close the liver that characterize the CT liver pictures.In this paper,the CT pictures square measure taken,&then the segmentation processes square measure applied to the liver image which is able to notice,extract the CT liver boundary & any classify liver diseases.