Mammography can be considered as the current gold standard for detecting early signs of
breast cancer and is in wide use throughout the world. As confirmed by many studies, breast …

Background Pectoral muscle removal is a fundamental preliminary step in computer-aided
diagnosis systems for full-field digital mammography (FFDM). Currently, two open-source …

Mammographic textures show promise as breast cancer risk predictors, distinct from
mammographic density. Yet, there is a lack of comprehensive evidence to determine the …

Mammography interpretation is challenging with high error rates. This study aims to reduce
the errors in mammography reading by mapping diagnostic errors against global …

Detection of masses and micro calcifications are a stimulating task for radiologists in digital
mammogram images. Radiologists using Computer Aided Detection (CAD) frameworks to …

In recent years, several studies have established a relationship between mammographic
parenchymal patterns and breast cancer risk. However, there is a lack of publicly available …

Background and objectives: The computerized analysis of mammograms for the
development of quantitative biomarkers is a growing field with applications in breast cancer …

Introduction Breast cancer (BC), the most frequently diagnosed malignancy among women
worldwide, presents a public health challenge and affects mortality rates. Breast‐conserving …

Purpose This research on breast cancer risk assessment aims to develop models that
predict the likelihood of breast cancer. In recent years, the computerized analysis of visual …

Mammography is one of the main diagnostic tools for the breast and is increasingly utilized
for breast cancer risk assessment. Recently, parenchymal analysis has emerged as a …