Automatic Segmentation And Detection Of Mass In Digital Mammograms
This paper presents an automated system for mass segmentation and detection in mammograms. Initially, breast segmentation is applied to separate the breast and non-breast area. Then, image enhancement is employed to improve the contrast of the tissues structure in mammograms. Finally, constraint reg...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2012
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| Online Access: | http://eprints.usm.my/25875/1/Automatic_Segmentation_And_Detection_Of_Mass_In_Digital_Mammograms.pdf http://eprints.usm.my/25875/ |
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| _version_ | 1834498364419342336 |
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| author | Mat Isa, Nor Ashidi Ting, Shyue Siong |
| author_facet | Mat Isa, Nor Ashidi Ting, Shyue Siong |
| author_sort | Mat Isa, Nor Ashidi |
| building | Hamzah Sendut Library |
| collection | Institutional Repository |
| content_provider | Universiti Sains Malaysia |
| content_source | USM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents an automated system for mass segmentation and detection in mammograms. Initially, breast segmentation is applied to separate the breast and non-breast area. Then, image enhancement is employed to improve the contrast of the tissues structure in mammograms. Finally, constraint region growing based on local statistical texture analysis is applied to detect and segment out the mass from the mammograms. |
| format | Conference or Workshop Item |
| id | my.usm.eprints.25875 |
| institution | Universiti Sains Malaysia |
| language | en |
| publishDate | 2012 |
| record_format | eprints |
| spelling | my.usm.eprints.25875 http://eprints.usm.my/25875/ Automatic Segmentation And Detection Of Mass In Digital Mammograms Mat Isa, Nor Ashidi Ting, Shyue Siong TK1-9971 Electrical engineering. Electronics. Nuclear engineering This paper presents an automated system for mass segmentation and detection in mammograms. Initially, breast segmentation is applied to separate the breast and non-breast area. Then, image enhancement is employed to improve the contrast of the tissues structure in mammograms. Finally, constraint region growing based on local statistical texture analysis is applied to detect and segment out the mass from the mammograms. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/25875/1/Automatic_Segmentation_And_Detection_Of_Mass_In_Digital_Mammograms.pdf Mat Isa, Nor Ashidi and Ting, Shyue Siong (2012) Automatic Segmentation And Detection Of Mass In Digital Mammograms. In: 11th International Conference on Signal Processing (SIP’12), 02 – 04 April 2012, St. Malo, Perancis . (Submitted) |
| spellingShingle | TK1-9971 Electrical engineering. Electronics. Nuclear engineering Mat Isa, Nor Ashidi Ting, Shyue Siong Automatic Segmentation And Detection Of Mass In Digital Mammograms |
| title | Automatic Segmentation And Detection Of Mass In Digital Mammograms |
| title_full | Automatic Segmentation And Detection Of Mass In Digital Mammograms |
| title_fullStr | Automatic Segmentation And Detection Of Mass In Digital Mammograms |
| title_full_unstemmed | Automatic Segmentation And Detection Of Mass In Digital Mammograms |
| title_short | Automatic Segmentation And Detection Of Mass In Digital Mammograms |
| title_sort | automatic segmentation and detection of mass in digital mammograms |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/25875/1/Automatic_Segmentation_And_Detection_Of_Mass_In_Digital_Mammograms.pdf http://eprints.usm.my/25875/ |
| url_provider | http://eprints.usm.my/ |