Empowering early diagnosis :leveraging machine learning for breast cancer detection

Worldwide, breast cancer ranks as the second greatest cause of mortality for women. Research into breast cancer detection is essential due to the positive impact early identification and prompt treatment may have on patient outcomes. Analysis of mammograms and other medical data using machine learning algorithms has shown encouraging results in the identification of breast cancer. In this study, we survey the current top methods for detecting breast cancer via machine learning. In this article, we'll go through the many machine learning models used for breast cancer diagnosis, as well as the difficulties inherent in creating models that can be relied upon to accurately diagnose the disease. In addition, we point out the potential benefits of machine learning in breast cancer screening and diagnosis and suggest new avenues for
study