Development of an intelligent system for breast cancer diagnosis
92 p.
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2011
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sg-ntu-dr.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 |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Lim, Wei Keat Development of an intelligent system for breast cancer diagnosis |
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92 p. |
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Er Meng Joo |
author_facet |
Er Meng Joo Lim, Wei Keat |
format |
Theses and Dissertations |
author |
Lim, Wei Keat |
author_sort |
Lim, Wei Keat |
title |
Development of an intelligent system for breast cancer diagnosis |
title_short |
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 |
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development of an intelligent system for breast cancer diagnosis |
publishDate |
2011 |
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http://hdl.handle.net/10356/46985 |
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1772825347742498816 |