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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.||URI:||http://hdl.handle.net/10356/46007||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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