Breast cancer in women is the second most common cancer worldwide. Early detection of
breast cancer can reduce the risk of human life. Non-invasive techniques such as …

Aims A large number of clinical trials have proved that if breast cancer is diagnosed at an
early stage, it could give patients more treatment options and improve the treatment effect …

Breast cancer is the most menacing cancer among all types of cancer in women around the
globe. Early diagnosis is the only way to increase the treatment options which then …

With the rapid development of information technology, the conception of smart healthcare
has progressively come to the fore. Smart healthcare utilizes next-generation technologies …

Breast cancer is regarded as the leading killer of women today. The early diagnosis and
treatment of breast cancer is the key to improving the survival rate of patients. A method of …

Research in deep learning (DL) has continued to provide significant solutions to the
challenges of detecting breast cancer in digital images. Image preprocessing methods and …

Microcalcification clusters in mammograms are one of the major signs of breast cancer.
However, the detection of microcalcifications from mammograms is a challenging task for …

Introduction and Background: Despite fast developments in the medical field, histological
diagnosis is still regarded as the benchmark in cancer diagnosis. However, the input image …

Various imaging techniques combined with machine learning (ML) models have been used
to build computer-aided diagnosis (CAD) systems for breast cancer (BC) detection and …

Pathologists use biopsies and microscopic examination to accurately diagnose breast
cancer. This process is time-consuming, labor-intensive, and costly. Convolutional neural …