Breast cancer is the second major reason of death among women around the world. Early
and accurate breast cancer detection is important for proper treatment planning to save a …

Breast cancer is a significant cause of cancer fatality among women all over the world.
Hence the detection of this disease at the initial stage works as a boon to the patient so that …

Breast cancer causes hundreds of women's deaths each year. The manual detection of
breast cancer is time-consuming, complicated, and prone to inaccuracy. For Breast Cancer …

This paper proposes a deep convolutional neural network (CNN) model for automated
breast cancer classification from a different class of images, namely, mammograms and …

Breast cancer is the most widespread type of cancer among women. The diagnosis of breast
cancer in its early stages is still a significant problem worldwide. The accurate classification …

According to the World Health Organization, cancer is the second leading cause of mortality.
Breast cancer is the most prevalent cancer diagnosed in women around the world. Breast …

Purpose Breast cancer is a prominent cancer type with high mortality. Early detection of
breast cancer could serve to improve clinical outcomes. Ultrasonography is a digital imaging …

Breast tumor is one of the major cause of death among women all over the world.
Ultrasound imaging-based breast abnormality detection and classification play a vital role to …

Breast cancer is caused by the abnormal and rapid growth of breast cells. An early
diagnosis can ensure an easier and effective treatment. A mass in the breast is a significant …

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 …