Cancer Cell Image Segregation
Breast cancer is one of the common diseases among women nowadays. Some methods to detect or identify breast cancer including pap smear image testing, mammogram and ultrasound screening, Self Breast Checks, fine needle aspiration (FNA) and other. However, some weakness we face must be solved in...
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| Format: | Monograph |
| Language: | English |
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Universiti Sains Malaysia
2006
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| Online Access: | http://eprints.usm.my/58580/1/Cancer%20Cell%20Image%20Segregation_Wong%20Hon%20Choong.pdf |
| _version_ | 1825907924738768896 |
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| author | Wong, Hon Choong |
| author_facet | Wong, Hon Choong |
| author_sort | Wong, Hon Choong |
| collection | USM |
| description | Breast cancer is one of the common diseases among women nowadays. Some
methods to detect or identify breast cancer including pap smear image testing,
mammogram and ultrasound screening, Self Breast Checks, fine needle aspiration (FNA)
and other. However, some weakness we face must be solved in order to obtain the
accurate data from medical image such as image of breast cancer cells that is overlapping
of cell image in cluster will affect the data. A system was build by using Borland C++
Builder through this project to detect the edge of cell image and segregate those
overlapping cells image. The implementation of techniques like edge detection and
segmentation are used. According to results, most of those techniques are successful to
detect edge and do segmentation. |
| first_indexed | 2024-03-06T16:11:22Z |
| format | Monograph |
| id | usm.eprints-58580 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T16:11:22Z |
| publishDate | 2006 |
| publisher | Universiti Sains Malaysia |
| record_format | dspace |
| spelling | usm.eprints-585802023-05-17T09:28:35Z http://eprints.usm.my/58580/ Cancer Cell Image Segregation Wong, Hon Choong T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Breast cancer is one of the common diseases among women nowadays. Some methods to detect or identify breast cancer including pap smear image testing, mammogram and ultrasound screening, Self Breast Checks, fine needle aspiration (FNA) and other. However, some weakness we face must be solved in order to obtain the accurate data from medical image such as image of breast cancer cells that is overlapping of cell image in cluster will affect the data. A system was build by using Borland C++ Builder through this project to detect the edge of cell image and segregate those overlapping cells image. The implementation of techniques like edge detection and segmentation are used. According to results, most of those techniques are successful to detect edge and do segmentation. Universiti Sains Malaysia 2006-05-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/58580/1/Cancer%20Cell%20Image%20Segregation_Wong%20Hon%20Choong.pdf Wong, Hon Choong (2006) Cancer Cell Image Segregation. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik dan Elektronik. (Submitted) |
| spellingShingle | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Wong, Hon Choong Cancer Cell Image Segregation |
| title | Cancer Cell Image Segregation |
| title_full | Cancer Cell Image Segregation |
| title_fullStr | Cancer Cell Image Segregation |
| title_full_unstemmed | Cancer Cell Image Segregation |
| title_short | Cancer Cell Image Segregation |
| title_sort | cancer cell image segregation |
| topic | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering |
| url | http://eprints.usm.my/58580/1/Cancer%20Cell%20Image%20Segregation_Wong%20Hon%20Choong.pdf |
| work_keys_str_mv | AT wonghonchoong cancercellimagesegregation |