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

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

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...

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Main Author: Chung, Sheng Hung
Format: Thesis
Published: 2007
Subjects:
QA76.75-76.765 Computer software
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spelling my-mmu-ep.12722010-08-19T04:09:17Z Texture-based Multimode Analysis For Preliminary Diagnosis Of Liver Cyst And Fatty Liver Using Neural Networks 2007-07 Chung, Sheng Hung QA76.75-76.765 Computer software 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. 2007-07 Thesis http://shdl.mmu.edu.my/1272/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library
institution Multimedia University
collection MMU Institutional Repository
topic QA76.75-76.765 Computer software
spellingShingle QA76.75-76.765 Computer software
Chung, Sheng Hung
Texture-based Multimode Analysis For Preliminary Diagnosis Of Liver Cyst And Fatty Liver Using Neural Networks
description 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.
format Thesis
qualification_level Master's degree
author Chung, Sheng Hung
author_facet Chung, Sheng Hung
author_sort Chung, Sheng Hung
title Texture-based Multimode Analysis For Preliminary Diagnosis Of Liver Cyst And Fatty Liver Using Neural Networks
title_short Texture-based Multimode Analysis For Preliminary Diagnosis Of Liver Cyst And Fatty Liver Using Neural Networks
title_full Texture-based Multimode Analysis For Preliminary Diagnosis Of Liver Cyst And Fatty Liver Using Neural Networks
title_fullStr Texture-based Multimode Analysis For Preliminary Diagnosis Of Liver Cyst And Fatty Liver Using Neural Networks
title_full_unstemmed Texture-based Multimode Analysis For Preliminary Diagnosis Of Liver Cyst And Fatty Liver Using Neural Networks
title_sort texture-based multimode analysis for preliminary diagnosis of liver cyst and fatty liver using neural networks
granting_institution Multimedia University
granting_department Research Library
publishDate 2007
_version_ 1747829332178370560

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