Texture-based Multimode Analysis For Preliminary Diagnosis Of Liver Cyst And Fatty Liver Using Neural Networks

Chung, Sheng Hung (2007) Texture-based Multimode Analysis For Preliminary Diagnosis Of Liver Cyst And Fatty Liver Using Neural Networks. Masters thesis, Multimedia University.

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Abstract

Medical imaging has become the most prominent technique in identifying diseases. For the diagnosis of liver diseases, patient usually undergo a series of examination, where a number of imaging techniques are employed. The popular medical imaging modalities for this include Magnetic Resonance Imaging (MRI), Ultrasound and Computed Tomography (CT) scans. The objective of this research is to develop semi-automated multimodality image analysis for preliminary diagnosis of liver diseases specifically cyst and fatty liver.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 19 Aug 2010 04:09
Last Modified: 19 Aug 2010 04:09
URI: http://shdl.mmu.edu.my/id/eprint/1272

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