The incidences of breast cancer have risen in Cyprus from under 300 in 2000 to over 520 in 2010. Mammographic breast density is recognized as one of the most important risk factors in developing breast cancer. Breast density may mask abnormalities and result in a false negative, but women with dense breast are at a 4 to 6 times higher risk of breast cancer. Information on breast density and features can be most important in the development of density specific Computer Aided Detection (CAD) systems with higher sensitivity and specificity for use in clinical settings.

The ABCD-CAD project will develop novel algorithms for breast density classification and use these and the corresponding results to build a complete CAD system.

This work is supported by the Cyprus Research Promotion Foundation's Grant ΤΠΕ/ΟΡΙΖΟ/311(ΒΙΕ)/29 and is co-funded by the Republic of Cyprus and the European Regional Development Fund.