Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46985
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dc.contributor.authorLim, Wei Keaten_US
dc.date.accessioned2011-12-27T05:52:08Z
dc.date.available2011-12-27T05:52:08Z
dc.date.copyright2004en_US
dc.date.issued2004
dc.identifier.urihttp://hdl.handle.net/10356/46985
dc.description92 p.en_US
dc.description.abstractBreast 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.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligenceen_US
dc.titleDevelopment of an intelligent system for breast cancer diagnosisen_US
dc.typeThesisen_US
dc.contributor.supervisorEr Meng Jooen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Engineeringen_US
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