The increase in the data available attracted the concern of clustering approaches to
integrate them coherently and to identify patterns for big data. Hence, Meta-Heuristic …

Several studies have demonstrated the value of artificial intelligence (AI) applications in
breast cancer diagnosis. The systematic review of AI applications in breast cancer diagnosis …

Simple Summary In the literature, there exist plenty of research works focused on the
detection and classification of breast cancer. However, only a few works have focused on …

According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …

Introduction Breast cancer stands as the second most deadly form of cancer among women
worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose …

Breast Cancer is one of the most commonly occurring cancers in women. Detecting cancer
at an earlier stage increases the chance of survival. Thus the development of an automatic …

Cancer is a manifestation of disorders caused by the changes in the body's cells that go far
beyond healthy development as well as stabilization. Breast cancer is a common disease …

Deep Learning (DL) has rapidly become a methodology of choice for analyzing medical
images and increasingly attracts researchers' attention in the medical research community …

Researchers are motivated to investigate deep learning (DL) techniques for mammogram
images because of the limitations of conventional systems-based computer-aided detection …

In December 2019, a novel coronavirus, now named SARS-CoV-2, caused a series of acute
atypical respiratory diseases in Wuhan, Hubei province, China. It triggered several acute …