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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| Format: | Thesis |
| Language: | English |
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2010
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| Online Access: | http://eprints.usm.my/42883/ http://eprints.usm.my/42883/1/ZAILANI_MOHD_NORDIN.pdf |
| _version_ | 1848879681480163328 |
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| author | Nordin, Zailani Mohd |
| author_facet | Nordin, Zailani Mohd |
| author_sort | Nordin, Zailani Mohd |
| building | USM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T17:51:06Z |
| format | Thesis |
| id | usm-42883 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T17:51:06Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-428832019-04-12T05:26:54Z http://eprints.usm.my/42883/ Enhanced Image Processing Techniques Based On Technical Challenges In Mammogram Image Characteristics 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 NonPeerReviewed application/pdf en http://eprints.usm.my/42883/1/ZAILANI_MOHD_NORDIN.pdf Nordin, Zailani Mohd (2010) Enhanced Image Processing Techniques Based On Technical Challenges In Mammogram Image Characteristics. Masters thesis, Universiti Sains Malaysia. |
| spellingShingle | TK1-9971 Electrical engineering. Electronics. Nuclear engineering Nordin, Zailani Mohd Enhanced Image Processing Techniques Based On Technical Challenges In Mammogram Image Characteristics |
| title | 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_short | 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 |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/42883/ http://eprints.usm.my/42883/1/ZAILANI_MOHD_NORDIN.pdf |