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 …

Computer-aided diagnosis (CAD) has been a promising area of research over the last two
decades. However, CAD is a very complicated subject because it involves a number of …

Breast cancer is the most commonly diagnosed cancer, which alone accounts for 30% all
new cancer diagnoses for women, posing a threat to women's health. Segmentation of …

Incorporating human domain knowledge for breast tumor diagnosis is challenging because
shape, boundary, curvature, intensity or other common medical priors vary significantly …

Breast cancer accounts for the second-largest number of deaths in women around the world,
and more than 8% of women will suffer from the disease in their lifetime. Mortality due to …

Breast Ultrasound (BUS) has proven to be an effective tool for the early detection of cancer
in the breast. A lesion segmentation provides identification of the boundary, shape, and …

Purpose Breast ultrasound (BUS) image segmentation plays a crucial role in computer‐
aided diagnosis systems for BUS examination, which are useful for improved accuracy of …

Automatic and accurate breast ultrasound (BUS) image segmentation is crucial to achieve
effective ultrasound-based computer aided diagnosis (CAD) systems for breast cancer …

Traditional medical image segmentation methods have problems such as low segmentation
accuracy and low adaptive ability. Therefore, many scholars have proposed a medical …

Purpose Breast ultrasound (BUS) is one of the imaging modalities for the diagnosis and
treatment of breast cancer. However, the segmentation and classification of BUS images is a …