Deep learning models are highly parameterized, resulting in difficulty in inference and
transfer learning for image recognition tasks. In this work, we propose a layered pathway …

OBJECTIVE. Digital mammography combined with tomosynthesis is gaining clinical
acceptance, but data are limited that show its impact in the clinical environment. We …

OBJECTIVE. The purpose of our study was to subjectively compare additional
mammographic views to digital breast tomosynthesis (DBT) in the characterizing of known …

Breast cancer remains a global challenge, causing over 600,000 deaths in 2018 (ref.). To
achieve earlier cancer detection, health organizations worldwide recommend screening …

Screening for breast cancer with mammography has been introduced in various countries
over the last 30 years, initially using analog screen-film-based systems and, over the last 20 …

Background Our objective was to perform a systematic review and meta-analysis comparing
the breast cancer detection rate (CDR), invasive CDR, recall rate, and positive predictive …

Digital breast tomosynthesis (DBT) is an emerging technology used in diagnostic breast
imaging to evaluate potential abnormalities. In DBT, the compressed breast tissue is imaged …

Purpose To compare recall rate, types of abnormalities recalled, additional imaging
required, biopsy positive predictive value (PPV), and cancer detection rate before and after …

Background Digital breast tomosynthesis (DBT) is replacing digital mammography (DM) in
the clinical workflow. Currently, there are limited prospective studies comparing the …

Importance Expensive and lengthy clinical trials can delay regulatory evaluation of
innovative technologies, affecting patient access to high-quality medical products …