The relatively recent reintroduction of deep learning has been a revolutionary force in the
interpretation of diagnostic imaging studies. However, the technology used to acquire those …

Millions of breast imaging exams are performed each year in an effort to reduce the
morbidity and mortality of breast cancer. Breast imaging exams are performed for cancer …

In this chapter we introduce convolutional neural networks by starting with multilinear
perceptrons, and proceed by explaining backpropagation. Using this we proceed to …

Investigation of image reconstruction from data collected over a limited-angular range in X-
ray CT remains a topic of active research because it may yield insight into the development …

Population‐based breast cancer screening using mammography as the gold standard
imaging modality has been in clinical practice for over 40 years. However, the limitations of …

Digital breast tomosynthesis (DBT) has become a well-established breast imaging
technique, whose performance has been investigated in many clinical studies, including a …

Objective. Digital breast tomosynthesis (DBT) is a quasi-three-dimensional breast imaging
modality that improves breast cancer screening and diagnosis because it reduces …

Abstract Aim To overview Artificial Intelligence (AI) developments and applications in breast
imaging (BI) focused on providing person-centred care in diagnosis and treatment for breast …

The two-dimensional nature of mammography makes estimation of the overall breast density
challenging, and estimation of the true patient-specific radiation dose impossible. Digital …

This topical review is focused on the clinical breast x-ray imaging applications of the rapidly
evolving field of artificial intelligence (AI). The range of AI applications is broad. AI can be …