Journal article

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

Breast Cancer Research | BIOMED CENTRAL LTD | Published : 2015

Grants

Awarded by Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education, Science and Technology


Awarded by Ministry of Science, ICT and Future Planning


Funding Acknowledgements

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (number 2011-0013545 and 2010-0029113) and the Ministry of Science, ICT and Future Planning (2014R1A2A2A01002705). The funding sources had no involvement in conducting this study. TLN is supported by a Postgraduate Scholarship from the National Health and Medical Research Council (NHMRC) and The Richard Lowell Travelling Scholarship, The University of Melbourne. YKA was supported by the Australian Agency for International Development (AusAID). JLH is a NHMRC Senior Principal Research Fellow and a Distinguished Visiting Professor at Seoul National University.