Simple Summary In the literature, there exist plenty of research works focused on the
detection and classification of breast cancer. However, only a few works have focused on …

Simple Summary Breast cancer is the most common cancer, which resulted in the death of
700,000 people around the world in 2020. Various imaging modalities have been utilized to …

Deep Learning (DL) has rapidly become a methodology of choice for analyzing medical
images and increasingly attracts researchers' attention in the medical research community …

Breast cancer is one of the leading causes of death in women worldwide—the rapid
increase in breast cancer has brought about more accessible diagnosis resources. The …

As the new generation of breast cancer screening tools, automated breast ultrasound
(ABUS) has some difficulties of the long interpretation time in clinical application. A computer …

This paper analyzes a popular loss function used in machine learning called the log-cosh
loss function. A number of papers have been published using this loss function but, to date …

Despite recent medical advancements, breast cancer remains one of the most prevalent and
deadly diseases among women. Although machine learning-based Computer-Aided …

Rationale and Objectives To develop a deep learning model for the automated classification
of breast ultrasound images as benign or malignant. More specifically, the application of …

Mammography screening is one of the common techniques that help identify suspicious
masses' malignancy of breast cancer at an early stage. Yet, the early diagnosis of masses in …

Breast cancer is a leading cause of mortality among women globally, necessitating precise
classification of breast ultrasound images for early diagnosis and treatment. Traditional …