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 …

Breast cancer is a great threat to females. Ultrasound imaging has been applied extensively
in diagnosis of breast cancer. Due to the poor image quality, segmentation of breast …

Deep learning methods, especially convolutional neural networks, have been successfully
applied to lesion segmentation in breast ultrasound (BUS) images. However, pattern …

Real‐time three‐dimensional (3D) ultrasound (US) has attracted much more attention in
medical researches because it provides interactive feedback to help clinicians acquire high …

Computer-aided detection or diagnosis (CAD) has been a promising area of research over
the last two decades. Medical image analysis aims to provide a more efficient diagnostic and …

The ultrasound imaging is one of the most common schemes to detect diseases in the
clinical practice. There are many advantages of ultrasound imaging such as safety …

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 …

Purpose Breast cancer is the most common form of cancer among women worldwide.
Ultrasound imaging is one of the most frequently used diagnostic tools to detect and classify …

Breast cancer is now considered as one of the leading causes of deaths among women all
over the world. Aiming to assist clinicians in improving the accuracy of diagnostic decisions …