SCREENING OF BREAST CANCER
Grant number: 1055807 | Funding period: 2013 - 2016
Women with greater mammographic density (white area on a mammogram) are at greater risk of breast cancer. Prof Hopper (supervisor) has led international research in this area using a method called CUMULUS. Drs Makalic and Schmidt (co-supervisors) have created an automated measure, called CIRRUS. My aims are to: find out which factors influence CIRRUS, confirm that CIRRUS predicts breast cancer risk, and develop automated measures of a breast cancer risk based on magnetic resonance imaging (MRI).
Related publications (1)
Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms
Tuong Linh Nguyen, Ye Kyaw Aung, Christopher Francis Evans, Choi Yoon-Ho, Mark Anthony Jenkins, Joohon Sung, John Llewelyn Hopper, Yun-Mi Song