Development of automated measures from mammograms that predict masking and risk and pilot implementation into a BreastScreen service

Lead researcher

Prof John Hopper, Dr Daniel Schmidt, Dr Enes Makalic, Dr Louise Keogh, Dr Helen Frazer, Dr Pierre-Antoine Dugue, Dr Ralph Highnam, Mr Kevin Nguyen, Dr Jill Evans

The University of Melbourne

Years funded

We will try to minimise the negative aspects to mammographic screening by developing new, improved and automated measures of a woman’s risk (a) of having a breast tumour missed due to having dense breasts, and (b) of breast cancer itself. This will allow women attending mammographic screening at BreastScreen to be given, at the time of their screening, more appropriate management and screening advice to achieve better outcomes.

Funding Body

Cancer Council Research Grant


$99,842 per annum