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 …

Background and objective The high incidence of breast cancer in women has increased
significantly in the recent years. Physician experience of diagnosing and detecting breast …

Patients with breast cancer are prone to serious health-related complications with higher
mortality. The primary reason might be a misinterpretation of radiologists in recognizing …

Accurate microcalcification (mC) detection is of great importance due to its high proportion in
early breast cancers. Most of the previous mC detection methods belong to discriminative …

Microcalcification (MC) clusters in mammograms are one of the primary signs of breast
cancer. In the literature, most MC detection methods follow a two-step paradigm: segmenting …

Breast cancer, the most prevalent malignant tumor among women, poses a significant threat
to patients' physical and mental well-being. Recent advances in early screening technology …

The impact of human errors in imaging interpretation and the fact that decision support
systems can improve the reliability and accuracy of radiology reporting have led to the more …

Context: Mammary microcalcifications are not-palpable lesions that are present in
approximately 55% of breast cancer. These are a frequent findings in mammograms and …

The Mammographic image is a tool for observing breast cancer. Analyzing difficulties
include shape, size variety, nearby tissue, and noise. In this paper, we propose a method to …

Patients with breast cancer are prone to serious health-related complications with higher
mortality. The primary reason might be a misinterpretation of radiologists in recognizing …