Automated Segmentation of CT Liver Images: A Review
DOI:
https://doi.org/10.22385/jctecs.v19i0.266Keywords:
CT liver Segmentation, Liver decease, Artificial Neural Networks, Machine Learning, Clustering based Methods.Abstract
Segmentation of liver region from CT abdominal images has attained a massive importance in the field of medical imaging, Segmentation is the fundamental process for the identification of tumor present in the liver and also used to identify the various other diseases present in it. volume measurement of the Liver and its rendering also one of its major applications. Various automated methods for segmenting the liver images are reviewed in this paper and proposed a literature review. In general, segmentation techniques for Liver images can be semi-automatic and fully automatized in nature. In this paper, various approaches, applications and its related problems has been explained for the fully automatized techniques of liver image segmentation.Downloads
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