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

The use of image quality parameters in digital mammography such as contrast-to-noise ratio
(CNR), signal-to-noise ratio (SNR) and detective quantum efficiency (DQE) has been …

Purpose: Physical phantoms are essential for the development, optimization, and evaluation
of x‐ray breast imaging systems. Recognizing the major effect of anatomy on image quality …

Contrast-enhanced digital breast tomosynthesis (CE-DBT) is a novel modality for imaging
breast lesion morphology and vascularity. The purpose of this study is to assess the …

Statistical learning algorithms strongly rely on an oversimplified assumption for optimal
performance, that is, source (training) and target (testing) data are independent and …

Assessment of image quality for digital x-ray mammography systems used in European
screening programs relies mainly on contrast-detail CDMAM phantom scoring and requires …

A comparison, in terms of image quality and glandular breast dose, was carried out between
two similar digital mammography systems using amorphous selenium flat panel detectors …

Breast density is a measure of the extent of radiodense fibroglandular tissue in the breast.
The risk of developing breast cancer and the risk of missing cancer at screening rise with …

Finding new ways to cost-effectively facilitate population screening and improve cancer
diagnoses at an early stage supported by data-driven AI models provides unprecedented …

Digital mammography requires revisiting techniques that have been optimized for prior
screen/film mammography systems. The objective of the study was to determine optimized …