Development of an intelligent system for breast cancer diagnosis
92 p.
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| Other Authors: | |
| Format: | Thesis |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/10356/46985 |
| _version_ | 1826110801732173824 |
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| author | Lim, Wei Keat |
| author2 | Er Meng Joo |
| author_facet | Er Meng Joo Lim, Wei Keat |
| author_sort | Lim, Wei Keat |
| collection | NTU |
| description | 92 p. |
| first_indexed | 2024-10-01T02:40:08Z |
| format | Thesis |
| id | ntu-10356/46985 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T02:40:08Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/469852023-07-04T15:32:34Z Development of an intelligent system for breast cancer diagnosis Lim, Wei Keat Er Meng Joo School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence 92 p. Breast cancer is the most common cancer affecting Singapore women. Every year, 700 - 1000 new cases of breast cancer are diagnosed and about 250 women die from the disease. High-quality mammography, an X-ray technique that vi-sualizes the internal structure of the breast, is the most effective early detection technology currently available. It is sensitive to screening and diagnosis. Un-fortunately, it results in a high false-positive rate, i.e. only a small portion of masses found on mammograms are malignant. Recent studies found that only 20-30% mammographically suspicious nonpalpable breast masses were malig-nant. The National Cancer Institute of America also reported that 80% of American women who undergo surgical breast biopsies do not have cancers. Considering the cost of biopsy and the patient's emotional disturbance, it is crucial to develop high-performance computer-aided diagnosis (CAD) systems to assist radiologists in the classification of breast cancers in order to reduce unnecessary biopsies. Master of Engineering 2011-12-27T05:52:08Z 2011-12-27T05:52:08Z 2004 2004 Thesis http://hdl.handle.net/10356/46985 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Lim, Wei Keat Development of an intelligent system for breast cancer diagnosis |
| title | Development of an intelligent system for breast cancer diagnosis |
| title_full | Development of an intelligent system for breast cancer diagnosis |
| title_fullStr | Development of an intelligent system for breast cancer diagnosis |
| title_full_unstemmed | Development of an intelligent system for breast cancer diagnosis |
| title_short | Development of an intelligent system for breast cancer diagnosis |
| title_sort | development of an intelligent system for breast cancer diagnosis |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | http://hdl.handle.net/10356/46985 |
| work_keys_str_mv | AT limweikeat developmentofanintelligentsystemforbreastcancerdiagnosis |