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 …

Deep learning analysis of radiological images has the potential to improve diagnostic
accuracy of breast cancer, ultimately leading to better patient outcomes. This paper …

Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …

Deep learning (DL) is one of the most powerful data-driven machine-learning techniques in
artificial intelligence (AI). It can automatically learn from raw data without manual feature …

Rationale and Objectives Diagnosis of breast cancer on MRI requires, first, the identification
of suspicious lesions; second, the characterization to give a diagnostic impression. We …

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 …

Breast cancer is the most common malignant tumor among women worldwide and remains
one of the leading causes of death among women. Its incidence and mortality rates are …

Breast cancer is one of the most common cancers and is one of the leading causes of
cancer-related deaths in women worldwide. Early diagnosis and treatment are the key for a …

The development of ultrafast dynamic contrast‐enhanced (UF‐DCE) MRI has occurred in
tandem with fast MRI scan techniques, particularly view‐sharing and compressed sensing …

Importance The utilization of artificial intelligence for the differentiation of benign and
malignant breast lesions in multiparametric MRI (mpMRI) assists radiologists to improve …