Comparative study of different techniques used for medical image segmentation of liver from abdominal CT scan
M G Jayanthi · 2016
Computed tomography (CT) imaging is a fast, safe and accurate non-invasive automatic imaging modality used by pathologists to see the internal organs without operating on it. This provides detail cross sectioned view of internal tissues. in order to do visualize the area of interest and organ measurement. The aim objective of the proposed work is to discuss the possibility of different methods used for segmenting the liver from the abdominal CT imaging. Automatic extraction of liver from CT image is essential and used by radiologists to get second opinion to know and detect tumor present in the liver. This is difficult due to presence of nearby organ will have the same intensity as that of liver. In this work, a various method for segmentation of liver from CT Images is investigated that can be helpful for detection and classification of liver region. The objective is to segment the liver using different algorithms like seeded region growing, label connected, Neutrosophic set with thresholding. The proposed method discusses the comparative study of different methods and how those algorithms are used to detect the liver.