Background: Contrast-enhanced mammography (CEM) and contrast-enhanced magnetic
resonance imaging (CE-MRI) are commonly used in the screening of breast cancer. The …

Simple Summary Artificial intelligence (AI) has seamlessly integrated into the medical field,
especially in diagnostic imaging, thanks to ongoing AI advancements. It is widely used in …

Contrast-enhanced mammography (CEM) is becoming a widely adopted modality in breast
imaging over the past few decades and exponentially so over the last few years, with strong …

Background: The recent development of deep neural network models for the analysis of
breast images has been a breakthrough in computer-aided diagnostics (CAD). Contrast …

Contrast-enhanced mammography (CEM) remains an emerging technology despite being
approved by the Food and Drug Administration (FDA) for clinical use since 2011. Over …

Photoacoustic imaging (PAI) is an invaluable tool in biomedical imaging, as it provides
anatomical and functional information in real time. Its ability to image at clinically relevant …

The technique of dual-energy contrast enhanced mammography (CEM) visualizes iodine
uptake in cancerous breast lesions following an intravenous injection of a contrast medium …

Contrast-enhanced mammography (CEM) is an emerging breast imaging technology with
promise for breast cancer screening, diagnosis, and procedural guidance. However, best …

Contrast-enhanced mammography (CEM) is gaining rapid traction following the US Food
and Drug Administration approval for diagnostic indications. Contrast-enhanced …

Objectives This prospective study compares contrast-enhanced spectral mammography
(CESM) with contrast-enhanced breast MRI in assessing the extent of newly diagnosed …