Recent advances in deep learning have enhanced medical imaging research. Breast cancer
is the most prevalent cancer among women, and many applications have been developed to …

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 …

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 …

Background Breast cancer is a major public health concern, and early diagnosis and
classification are critical for effective treatment. Machine learning and deep learning …

Millions of breast imaging exams are performed each year in an effort to reduce the
morbidity and mortality of breast cancer. Breast imaging exams are performed for cancer …

This review provides an overview of current applications of deep learning methods within
breast radiology. The diagnostic capabilities of deep learning in breast radiology continue to …

This paper provides a critical review of the literature on deep learning applications in breast
tumor diagnosis using ultrasound and mammography images. It also summarizes recent …

Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …

Simple Summary Breast cancer was diagnosed in 2.3 million women, and around 685,000
deaths from breast cancer were recorded globally in 2020, making it the most common …

Deep learning has demonstrated tremendous revolutionary changes in the computing
industry and its effects in radiology and imaging sciences have begun to dramatically …