This review gives an overview of the current state of deep learning research in breast cancer
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …

Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …

Breast cancer is the most frequently diagnosed cancer in women; it poses a serious threat to
women's health. Thus, early detection and proper treatment can improve patient prognosis …

Simple Summary Breast cancer is the most common cancer, which resulted in the death of
700,000 people around the world in 2020. Various imaging modalities have been utilized to …

We aimed to use generative adversarial network (GAN)-based anomaly detection to
diagnose images of normal tissue, benign masses, or malignant masses on breast …

This scoping review examines the emerging field of synthetic ultrasound generation using
machine learning (ML) models in radiology. Nineteen studies were analyzed, revealing …

Background and Objectives: This study compares the clinical properties of original breast
ultrasound images and those synthesized by a generative adversarial network (GAN) to …

Background Advances in sports medicine, rehabilitation applications and diagnostics of
neuromuscular disorders are based on the analysis of skeletal muscle contractions …

Methods Two authors independently conducted a comprehensive search of PubMed,
Google Scholar, EMBASE, and Cochrane CENTRAL databases from January 1, 1950, to …

This paper intends to explore the effect of the enhanced snake variable model in the
segmentation of cardiac ultrasound images and its adoption in quantitative measurement of …