Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …

Breast cancer can develop when breast cells replicate abnormally. It is now a worldwide
issue that concerns people's safety all around the world. Every day, women die from breast …

Breast cancer stands as a paramount public health concern worldwide, underscoring an
imperative necessity within the research sphere for precision-driven and efficacious …

Breast cancer is a leading cause of death among women. Death rate from breast cancer is
reduced when it is detected early. Deep learning (DL) methods have become a viable …

Breast cancer is defined as abnormal cellular proliferation in the breast. The most common
kind of cancer that affects the breast and causes mortality in women is invasive ductal …

Breast cancer has surpassed heart disease as the second most common cause of mortality
among women. Amongst several imaging techniques, mammogram scans are considered …

There are many related works for breast cancer detection using convolutional neural
networks (CNN), and most of them rely only on feature extraction after the convolutions …

Breast cancer is one of the most prevalent cancers among women worldwide, and early
detection of the disease can be lifesaving. Detecting breast cancer early allows for treatment …

Breast cancer is one of the leading causes of death among women across the globe. It is
difficult to treat if detected at advanced stages. However, early detection can significantly …

Thousands of women worldwide are diagnosed with breast cancer yearly, which may be
fatal if not treated. The diagnosis of the condition may take years, by which time the patient …