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Title: Mammographic density assessment for breast cancer detection
Authors: Liu, Xukun.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Issue Date: 2011
Abstract: Mammographic density is a good indicator for the risk of breast cancer but the assessment of mammographic density is a time consuming process and requires a lot of effort from doctors. With the progress of technology, mammographic density assessment software can be developed to assist doctors to evaluate the risk of breast cancer and prevent misdiagnoses such as oversights. In this thesis, we study various techniques of mammographic density assessment and propose a novel image segmentation algorithm to segment dense areas from mammograms which achieves 10 percent increase on accuracy over existing methods. We also write the software MammoAid which implements the algorithm in C# with a user friendly interface which can be learned and used intuitively.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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