dc.contributor.authorTan, Joanna Ming Yien_US
dc.date.accessioned2011-12-27T06:28:06Z
dc.date.accessioned2017-07-23T08:40:07Z
dc.date.available2011-12-27T06:28:06Z
dc.date.available2017-07-23T08:40:07Z
dc.date.copyright2009en_US
dc.date.issued2009
dc.identifier.citationTan, J. M. Y. (2009). Discrete thermal data analysis using various classifiers for early detection of breast cancer. Master’s thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/47134
dc.description138 p.en_US
dc.description.abstractBreast cancer is the second leading cause of death in women. It occurs when cells in the breast begin to grow out of control and invade nearby tissues or spread throughout the body. The limitations of mammography as a screening modality, especially in young women with denser breasts, necessitated the development of novel and more effective screening strategies with acceptable sensitivity and specificity. In this work, the interpretive software system was further enhanced and developed for the detection and classification of the breast cancer patients. This system incorporated dynamic thermal analysis and analytical software to produce a potential tool for detection of breast cancer.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Mechanical engineeringen_US
dc.titleDiscrete thermal data analysis using various classifiers for early detection of breast canceren_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.supervisorNg Yin Kwee, Eddieen_US
dc.description.degreeMASTER OF ENGINEERING (MAE)en_US


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