Apart from high-risk scenarios such as the presence of highly penetrant genetic mutations,
breast screening typically comprises mammography or tomosynthesis strategies defined by …

Background Advances in computer processing and improvements in data availability have
led to the development of machine learning (ML) techniques for mammographic imaging …

Background Mammography is the only proven method for breast cancer screening that
reduces mortality, although it is inaccurate in young women or women with dense breasts …

For cancer screening to be successful, it should primarily detect cancers with lethal potential
or their precursors early, leading to therapy that reduces mortality and morbidity. Screening …

Although screening mammography has delivered many benefits since its introduction in
Canada in 1988, questions about perceived harms warrant an up-to-date review. To help …

Background Women and their health care providers need a reliable answer to this important
question: If a woman chooses to participate in regular mammography screening, then how …

This article reviews current limitations and future opportunities for the application of
computer-aided detection (CAD) systems and artificial intelligence in breast imaging …

Background: Data for multiple common susceptibility alleles for breast cancer may be
combined to identify women at different levels of breast cancer risk. Such stratification could …

Introduction Ductal carcinoma in situ (DCIS) is a non-invasive non-obligate precursor of
invasive breast cancer. With guideline concordant care (GCC), DCIS outcomes are at least …

Conventional breast cancer detection techniques including X-ray mammography, magnetic
resonance imaging, and ultrasound scanning suffer from shortcomings such as excessive …