Feature selection is a preprocessing technique that identifies the key features of a given
problem. It has traditionally been applied in a wide range of problems that include biological …

The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …

Background The assessment of a woman's risk for developing breast cancer has become
increasingly important for establishing personalized screening recommendations and …

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

An automated system for detecting and classifying particular types of tumors in digitized
mammograms is described. The analysis of mammograms is performed in two stages. First …

The authors studied the effectiveness of using texture features derived from spatial grey
level dependence (SGLD) matrices for classification of masses and normal breast tissue on …

At present, mammography associated with clinical breast examination and breast self-
examination is the only effective and viable method for mass breast screening. The …

A consistent, quantitative, observer-independent method of characterising mammographic
parenchymal pattern is described. The method is based on the calculation of the'fractal …

Abstract Information derived from mammographic parenchymal patterns provides one of the
strongest indicators of the risk of developing breast cancer. To address several limitations of …

We present an evaluation and comparison of the performance of four different texture and
shape feature extraction methods for classification of benign and malignant …