A Comprehensive Research of Breast Cancer Detection Using Machine Learning, Clustering and Optimization Techniques

One of the main causes of death for women is breast cancer. Given that breast cancer is one of the most common and dangerous diseases to affect women over the age of forty, mammography testing is recommended for women as a crucial first step in the early detection and diagnosis of breast cancer. Using a variety of image processing techniques, numerous investigations on the diagnosis and detection of breast cancer have been carried out. An algorithm must be used in order to pinpoint the tumor's boundaries with a certain level of accuracy. We examine numerous breast cancer detection methods in this study. An overview of contemporary clustering techniques, machine learning, and optimization methods for breast cancer screening is given in this article.