The aim of this paper is to review existing approaches to the automatic detection and
segmentation of masses in mammographic images, highlighting the key-points and main …

Increased mammographic breast density is a moderate independent risk factor for breast
cancer, with findings of published studies in which quantitative methods of assessment were …

Segmentation of the breast region and pectoral muscle are fundamental subsequent steps
in the process of Computer-Aided Diagnosis (CAD) systems. Segmenting the breast region …

Mammographic density has been strongly associated with increased risk of breast cancer.
Furthermore, density is inversely correlated with the accuracy of mammography and …

Collective improvement in the acceptable or desirable accuracy level of breast cancer image-
related pattern recognition using various schemes remains challenging. Despite the …

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 …

The inter-and intraobserver agreement (κ-statistic) in reporting according to Breast Imaging
Reporting and Data System (BI-RADS®) breast density categories was tested in 12 …

A method is presented for estimation of dense breast tissue volume from mammograms
obtained with full-field digital mammography (FFDM). The thickness of dense tissue …

In develo** countries breast cancer has been found to be one of the diseases that
threatens the lives of women, and that is why finding ways of detecting efficiently is of great …

Previous works on breast tissue identification and abnormalities detection notice that the
feature extraction process is affected if the region processed is not well focused. Thereby, it …