Mammography has been the frontline screening tool for breast cancer for decades.
However, high error rates in the form of false negatives (FNs) and false positives (FPs) have …

Breast cancer is a type of cancer that has risen to be the second cause of death among
women. Classification of breast tissues into normal, benign, or malignant depends on the …

Breast cancer is now widely known to be the second most lethal disease among women.
Computer-aided detection (CAD) systems, deep learning (DL) in particular, have continued …

OBJECTIVE. The purpose of this study is to compare the risk of malignancy associated with
architectural distortion detected on 2D digital mammography (DM) versus digital breast …

OBJECTIVE. The objective of our study was to determine the risk of malignancy associated
with architectural distortion and to evaluate the imaging and clinical features that may …

Objectives To compare interobserver variability (IOV), reader confidence, and
sensitivity/specificity in detecting architectural distortion (AD) on digital mammography (DM) …

Simple Summary Breast cancer is leading cancer increases the death rate in women. Early
diagnosis of breast cancer in women can save their lives. The current study proposed a …

Objectives To investigate the diagnostic accuracy of problem-solving breast magnetic
resonance imaging (MRI) in excluding malignancy in a cohort of patients diagnosed with …

Simulated breast lesion models, including microcalcification clusters and masses, have
been used in several studies. Realistic lesion models are required for virtual clinical trials to …

Purpose Radial scars (RS) commonly present mammographically as architectural
distortions, but these lesions may be associated with non-invasive and invasive breast …