Enhancing Breast Cancer Diagnosis with Logistic Regression

The maximum not unusual cancer among women is Breast cancer. Early detection and accurate diagnosis are crucial for improving patient outcomes. Over the years, numerous classification techniques have been developed to aid in the accurate diagnosis of breast cancer. This paper provides a comprehensive review of the existing breast cancer classification techniques, including machine learning, deep learning, and image processing-based approaches. The paper also highlights the advantages and limitations of each technique and identifies areas for future research.