Analysis of Textural Characteristics Associated with Gray Level Co-occurrence Matrix Statistical Parameters for CT-Scan Images of Liver

Abstract

Liver is the largest organ of body, located in the upper left of abdomen and performs various important functions like clearing toxins from the blood, production of blood proteins and bile to help in digestion. However, liver diseases are one of the leading causes of deaths worldwide. Liver diseases like cysts, hepatitis, tumors need to be detected and diagnose at early stages. In this study we have developed a CAD system which will analyze textural characteristics associated with Gray Level Cooccurrence Matrix (GLCM) statistical parameters for CT Scan DICOM Images of Liver which will be further useful to classify the liver as healthy or diseased. Keywords— Texture analysis, Statistical parameters, Cooccurrence matrix, Liver abnormalities, Active Contour, snakes, CAD, CT, DICOM

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Cite this paper

@inproceedings{Mohadikar2016AnalysisOT, title={Analysis of Textural Characteristics Associated with Gray Level Co-occurrence Matrix Statistical Parameters for CT-Scan Images of Liver}, author={Dipti Mohadikar and Swati D. Deshmukh and Amol M Sapkal and R. R. Manthalkar}, year={2016} }