Objective To evaluate the interpretative performance of two-dimensional (2D) synthetic
mammography (SM) reconstructed from digital breast tomosynthesis (DBT) in the detection …

This paper introduces and applies a structured phantom with inserted target objects for the
comparison of detection performance of digital breast tomosynthesis (DBT) against 2D full …

Artificial intelligence (AI) is a branch of computer science dedicated to developing computer
algorithms that emulate intelligent human behavior. Subfields of AI include machine learning …

Digital breast tomosynthesis (DBT) allows three-dimensional assessment of breast tissue;
however, DBT requires a two-dimensional (2D) image for comparison with prior …

Background Performance metrics with digital breast tomosynthesis (DBT) are based on early
experiences. There is limited research on whether the benefits of DBT are sustained …

Synthetic mammography (SM) consists of two-dimensional images reconstructed from digital
breast tomosynthesis (DBT) data. Unlike standard full-field digital mammography (FFDM) …

Purpose To develop a computerized detection system for the automatic classification of the
presence/absence of mass lesions in digital breast tomosynthesis (DBT) annotated exams …

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

Purpose To evaluate a commercial tomosynthesis computer-aided detection (CAD) system
in an independent, multicenter dataset. Materials and Methods Diagnostic and screening …

Despite continued controversy over how often and when mammographic screening should
occur, the modality remains the mainstay of the early detection of breast cancer. In 2009, the …