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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Bibliographic Details
Main Author: Chung, Sheng Hung
Format: Thesis
Published: 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/1272/
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author Chung, Sheng Hung
author_facet Chung, Sheng Hung
author_sort Chung, Sheng Hung
building MMU Institutional Repository
collection Online Access
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.
first_indexed 2025-11-14T18:01:33Z
format Thesis
id mmu-1272
institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T18:01:33Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling mmu-12722010-08-19T04:09:17Z http://shdl.mmu.edu.my/1272/ Texture-based Multimode Analysis For Preliminary Diagnosis Of Liver Cyst And Fatty Liver Using Neural Networks 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 NonPeerReviewed Chung, Sheng Hung (2007) Texture-based Multimode Analysis For Preliminary Diagnosis Of Liver Cyst And Fatty Liver Using Neural Networks. Masters thesis, Multimedia University. http://myto.perpun.net.my/metoalogin/logina.php
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
title 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_short 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
topic QA76.75-76.765 Computer software
url http://shdl.mmu.edu.my/1272/
http://shdl.mmu.edu.my/1272/