Breast cancer is a common and fatal disease among women worldwide. Therefore, the early
and precise diagnosis of breast cancer plays a pivotal role to improve the prognosis of …

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 …

Currently, the automatic segmentation of breast tumors based on breast ultrasound (BUS)
images is still a challenging task. Most lesion segmentation methods are implemented …

Breast cancer analysis implies that radiologists inspect mammograms to detect suspicious
breast lesions and identify mass tumors. Artificial intelligence techniques offer automatic …

Abstract Background and Objective: Although automated Skin Lesion Classification (SLC) is
a crucial integral step in computer-aided diagnosis, it remains challenging due to variability …

Abstract Background and Objective: Automatic segmentation of skin lesions is considered a
crucial step in Computer-aided Diagnosis (CAD) systems for melanoma detection. Despite …

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

The early detection of breast cancer (BC) has a significant impact on reducing the disease's
mortality rate. As an effective cost-and time-saving tool, computer-aided diagnosis (CAD) …

Skin cancer is one of the primary causes of death globally, and experts diagnose it by visual
inspection, which can be inaccurate. The need for developing a computer-aided 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 …