Enhanced Image Processing Techniques Based On Technical Challenges In Mammogram Image Characteristics

Breast cancer is the leading type of cancer in Malaysia. More than 30% of total cancer case reported among women in Malaysia is made up of breast cancer. At the moment, one of the best known techniques used for breast cancer detection is mammography. Unfortunately, the image produced through mammogr...

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Main Author:	Nordin, Zailani Mohd
Format:	Thesis
Language:	English
Published:	2010
Subjects:	TK1-9971 Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.usm.my/42883/1/ZAILANI_MOHD_NORDIN.pdf
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id	my-usm-ep.42883
record_format	uketd_dc
spelling	my-usm-ep.428832019-04-12T05:26:54Z Enhanced Image Processing Techniques Based On Technical Challenges In Mammogram Image Characteristics 2010-04 Nordin, Zailani Mohd TK1-9971 Electrical engineering. Electronics. Nuclear engineering Breast cancer is the leading type of cancer in Malaysia. More than 30% of total cancer case reported among women in Malaysia is made up of breast cancer. At the moment, one of the best known techniques used for breast cancer detection is mammography. Unfortunately, the image produced through mammography is normally noisy and low in contrast making detection of early signs of breast cancer (i.e. microcalcification and mass) difficult. Therefore, a lot of studies have been conducted to develop image processing techniques which would help in the detection of these early signs. 2010-04 Thesis http://eprints.usm.my/42883/ http://eprints.usm.my/42883/1/ZAILANI_MOHD_NORDIN.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuteraan Elektrik & Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK1-9971 Electrical engineering Electronics Nuclear engineering
spellingShingle	TK1-9971 Electrical engineering Electronics Nuclear engineering Nordin, Zailani Mohd Enhanced Image Processing Techniques Based On Technical Challenges In Mammogram Image Characteristics
description	Breast cancer is the leading type of cancer in Malaysia. More than 30% of total cancer case reported among women in Malaysia is made up of breast cancer. At the moment, one of the best known techniques used for breast cancer detection is mammography. Unfortunately, the image produced through mammography is normally noisy and low in contrast making detection of early signs of breast cancer (i.e. microcalcification and mass) difficult. Therefore, a lot of studies have been conducted to develop image processing techniques which would help in the detection of these early signs.
format	Thesis
qualification_level	Master's degree
author	Nordin, Zailani Mohd
author_facet	Nordin, Zailani Mohd
author_sort	Nordin, Zailani Mohd
title	Enhanced Image Processing Techniques Based On Technical Challenges In Mammogram Image Characteristics
title_short	Enhanced Image Processing Techniques Based On Technical Challenges In Mammogram Image Characteristics
title_full	Enhanced Image Processing Techniques Based On Technical Challenges In Mammogram Image Characteristics
title_fullStr	Enhanced Image Processing Techniques Based On Technical Challenges In Mammogram Image Characteristics
title_full_unstemmed	Enhanced Image Processing Techniques Based On Technical Challenges In Mammogram Image Characteristics
title_sort	enhanced image processing techniques based on technical challenges in mammogram image characteristics
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuteraan Elektrik & Elektronik
publishDate	2010
url	http://eprints.usm.my/42883/1/ZAILANI_MOHD_NORDIN.pdf
_version_	1747821119082070016

Enhanced Image Processing Techniques Based On Technical Challenges In Mammogram Image Characteristics

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