Many important post‐acquisition aspects of breast tomosynthesis imaging can impact its
clinical performance. Chief among them is the reconstruction algorithm that generates the …

Anthropomorphic breast phantoms are both, computational and physical, anatomically and
radiologically realistic models of the human female breast, and are considered an excellent …

To evaluate deep learning in the assessment of breast cancer risk in which convolutional
neural networks (CNNs) with transfer learning are used to extract parenchymal …

We proposed to compare the accuracy and effectiveness of digital breast tomosynthesis
(DBT), plus digital or synthetic mammography, with digital mammography alone in women …

OVERVIEW The current standard of Response Evaluation Criteria in Solid Tumors (RECIST)–
based tumor response evaluation is limited in its ability to accurately monitor treatment …

Abstract Purpose To compare Digital Breast Tomosynthesis (DBT) for cancers and normal
screens in women with dense breasts and negative mammography using a Radiomics …

The aim of this article is to review the major limitations in current mammography and to
describe how these may be addressed by digital breast tomosynthesis (DBT). DBT is a novel …

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 …

The term “breast density” or mammographic density (MD) denotes those components of
breast parenchyma visualised at mammography that are denser than adipose tissue. MD is …

Digital breast tomosynthesis (DBT) has gained acceptance as an adjunct to digital
mammography in screening. Now that breast density reporting is mandated in several states …