Breast cancer is a commonly diagnosed disease in women. Early detection, a personalized
treatment approach, and better understanding are necessary for cancer patients to survive …

Breast Cancer is the abnormal growth of cells in the breast. According to the World Health
Organisation, Breast Cancer is the most common type of cancer that women are diagnosed …

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

With the exponential increase in new cases coupled with an increased mortality rate, cancer
has ranked as the second most prevalent cause of death in the world. Early detection is …

The objective of this study is to frame mammogram breast detection model using the
optimized hybrid classifier. Image pre-processing, tumor segmentation, feature extraction …

Breast cancer is one of the leading causes of female cancer deaths. Early diagnosis with
prophylactic may improve the patients' prognosis. So far ultrasound (US) imaging has been …

Breast cancer is the second leading cause of cancer-related death after lung cancer in
women. Early detection of breast cancer in X-ray mammography is believed to have …

Breast cancer (BC) is a type of cancer suffered by adult females worldwide. A late diagnosis
of BC leads to death, so early diagnosis is essential for saving lives. There are many …

Breast cancer is one of the most threatening diseases among women worldwide because of
its painful treatment process which provides a temporary cure but becomes fatal in most …

Breast cancer (BC) is the most common cancer among women, making it essential to have
an accurate and dependable system for diagnosing benign or malignant tumors. It is …