Segmentation of liver tumor from CT images

Segmentation of liver tumor from CT images

This final year project aims to study characteristics of cancerous and healthy tissues in liver, which are later used by two algorithms, Support Vector Machine and Graph-cut, to do the liver tumor segmentation. Results from two algorithms are compared to evaluate on their efficiency. Besides, anisot...

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Main Author: La, Cam Chung
Other Authors: Chan Kap Luk
Format: Final Year Project
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Bioengineering
Online Access:http://hdl.handle.net/10356/52995
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-52995
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spelling sg-ntu-dr.10356-529952023-07-07T16:39:09Z Segmentation of liver tumor from CT images La, Cam Chung Chan Kap Luk School of Electrical and Electronic Engineering A*STAR Institute for Infocomm Research DRNTU::Engineering::Bioengineering This final year project aims to study characteristics of cancerous and healthy tissues in liver, which are later used by two algorithms, Support Vector Machine and Graph-cut, to do the liver tumor segmentation. Results from two algorithms are compared to evaluate on their efficiency. Besides, anisotropic diffusion filter concept is also introduced as a pre-processing step, so that the final segmentation from both algorithms can be enhanced. Finally, a new semi-automatic method is proposed to improve liver tumor segmentation by finding out the ribcage curves on every CT slice, using the rib bone traces. One can use the rib curve as a post-processing step to fine tune the segmentation. Bachelor of Engineering 2013-05-29T06:57:11Z 2013-05-29T06:57:11Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/52995 en Nanyang Technological University 66 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
La, Cam Chung
Segmentation of liver tumor from CT images
description This final year project aims to study characteristics of cancerous and healthy tissues in liver, which are later used by two algorithms, Support Vector Machine and Graph-cut, to do the liver tumor segmentation. Results from two algorithms are compared to evaluate on their efficiency. Besides, anisotropic diffusion filter concept is also introduced as a pre-processing step, so that the final segmentation from both algorithms can be enhanced. Finally, a new semi-automatic method is proposed to improve liver tumor segmentation by finding out the ribcage curves on every CT slice, using the rib bone traces. One can use the rib curve as a post-processing step to fine tune the segmentation.
author2 Chan Kap Luk
author_facet Chan Kap Luk
La, Cam Chung
format Final Year Project
author La, Cam Chung
author_sort La, Cam Chung
title Segmentation of liver tumor from CT images
title_short Segmentation of liver tumor from CT images
title_full Segmentation of liver tumor from CT images
title_fullStr Segmentation of liver tumor from CT images
title_full_unstemmed Segmentation of liver tumor from CT images
title_sort segmentation of liver tumor from ct images
publishDate 2013
url http://hdl.handle.net/10356/52995
_version_ 1772828598089023488

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