The ultimate goals of the application of artificial intelligence (AI) to digital breast
tomosynthesis (DBT) are the reduction of reading times, the increase of diagnostic …

Objective To assess the performance of one-view digital breast tomosynthesis (DBT) in
breast cancer screening. Methods The Malmö Breast Tomosynthesis Screening Trial is a …

Abstract Purpose Evaluate concurrent Computer-Aided Detection (CAD) with Digital Breast
Tomosynthesis (DBT) to determine impact on radiologist performance and reading time …

Objectives Tomosynthesis (DBT) has proven to be more sensitive than digital
mammography, but it requires longer reading time. We retrospectively compared accuracy …

Breast cancer screening with mammography has proven effective in reducing breast cancer
mortality, though it is not without limitations. Compression of the breast is seen as a …

Breast cancer is the most common cancer in women, and despite important improvements in
therapy, it is still a major cause for cancer-related mortality, accounting for approximately …

The introduction of mammography as a radiographic imaging modality optimized for breast
imaging revolutionized breast cancer care. Throughout the decades, conventional, screen …

The large image volumes in breast tomosynthesis (BT) have led to large amounts of data
and a heavy workload for breast radiologists. The number of slice images can be decreased …

Purpose: To investigate detection performance for calcification clusters in reconstructed
digital breast tomosynthesis (DBT) slices at different dose levels using a Super Resolution …

Abstract Digital Breast Tomosynthesis (DBT) has the potential to replace or supplement
Digital Mammography (DM). Studies have shown that it takes radiologists more time to read …