Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen
The objective of this thesis is to develop a scheme for detecting the region of interest (ROI), namely, liver from the abdomen MR images, which will pave the way in future for the development of an automated diagnostic and analysis system for liver related diseases. Though a large amount of modaliti...
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| Format: | Thesis |
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2005
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| Online Access: | http://shdl.mmu.edu.my/432/ |
| _version_ | 1848789504384565248 |
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| author | Lo, Pechin Chien Pau |
| author_facet | Lo, Pechin Chien Pau |
| author_sort | Lo, Pechin Chien Pau |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | The objective of this thesis is to develop a scheme for detecting the region of interest (ROI), namely, liver from the abdomen MR images, which will pave the way in future for the development of an automated diagnostic and analysis system for liver related diseases. Though a large amount of modalities are available in MR imaging, only T2 images are used for the work carried out in this thesis. A general purpose manual labelling tool for defining ROI and two automated schemes for ROI detection of the liver are presented in this thesis. |
| first_indexed | 2025-11-14T17:57:46Z |
| format | Thesis |
| id | mmu-432 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T17:57:46Z |
| publishDate | 2005 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-4322010-06-15T10:22:48Z http://shdl.mmu.edu.my/432/ Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen Lo, Pechin Chien Pau SF951 Diseases of Special Classes of Animals The objective of this thesis is to develop a scheme for detecting the region of interest (ROI), namely, liver from the abdomen MR images, which will pave the way in future for the development of an automated diagnostic and analysis system for liver related diseases. Though a large amount of modalities are available in MR imaging, only T2 images are used for the work carried out in this thesis. A general purpose manual labelling tool for defining ROI and two automated schemes for ROI detection of the liver are presented in this thesis. 2005 Thesis NonPeerReviewed Lo, Pechin Chien Pau (2005) Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen. Masters thesis, Multimedia University. http://myto.perpun.net.my/metoalogin/logina.php |
| spellingShingle | SF951 Diseases of Special Classes of Animals Lo, Pechin Chien Pau Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen |
| title | Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen |
| title_full | Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen |
| title_fullStr | Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen |
| title_full_unstemmed | Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen |
| title_short | Automated Labelling Methods For The Extraction Of Liver Region From Magnetic Resonance Images Of Abdomen |
| title_sort | automated labelling methods for the extraction of liver region from magnetic resonance images of abdomen |
| topic | SF951 Diseases of Special Classes of Animals |
| url | http://shdl.mmu.edu.my/432/ http://shdl.mmu.edu.my/432/ |