Breast cancer is the most frequently diagnosed cancer in women. However, the exact cause
(s) of breast cancer still remains unknown. Early detection, precise identification of women at …

Breast cancer is the most common cancer among women over 40 years. Studies have
shown that early detection and appropriate treatment of breast cancer significantly increase …

It has been shown that the accuracy of mammographic abnormality detection methods is
strongly dependent on the breast tissue characteristics, where a dense breast drastically …

Breast parenchymal density has been found to be a strong indicator for breast cancer risk,
however, to date, measures of breast density are qualitative and require the judgement of …

This chapter introduces a project named eDiamond, which aims to develop a Grid-enabled
federated database of annotated mammograms, built at a number of sites (initially in the …

Clinical research has shown that the sensitivity of mammography is significantly reduced by
increased breast density, which can mask some tumours due to dense fibroglandular tissue …

We present an image analysis method that can detect and measure breast density from
digitised mammograms. We present initial results on applying our method to characterise …

Parenchymal patterns defining the density of breast tissue are detected by advanced
correlation pattern recognition in an integrated Computer-Aided Detection (CAD) and …

Intelligent management of medical data is an important field of research in clinical
information and decision support systems. Such systems are finding increasing use in the …

Breast cancer is currently the most common cancer among women worldwide.
Mammography has been the most reliable and effective screening tool for the early …