Evaluation of texture analysis techniques for characterization of multimode-based liver images using SGLCM and FOS

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Evaluation of texture analysis techniques for characterization of multimode-based liver images using SGLCM and FOS

This paper is a study of using Spatial Grey-Level Co-occurrence Matrix (SGLCM) and First-Order Statistics (FOS), for characterization of liver tissue. SGLCM and FOS are applied on three modalities of liver images, consisting of Magnetic Resonance Imaging (MRI), Ultrasound and Computed Tomography (CT...

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Bibliographic Details
Main Authors:	Chung, S. H., Logeswaran, R.
Format:	Conference or Workshop Item
Published:	2006
Subjects:	T Technology (General) QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/3204/

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