A Review on Breast Cancer Detection and Diagnosis using Machine Learning Techniques

Abstract

Breast cancer is a complicated illness that is the second leading reason for women mortality due to cancer. A growing body of research suggested that a variety of variables (including genetic and environmental factors) might be linked to the onset and development of cancer in women breast. A major component of breast cancer treatment is the early detection of people with the disease. It initially presents an introduction of the various methods in breast cancer detection and classification with machine learning, followed by an overview of the various deep learning algorithms and other strategies. To provide a comprehensive introduction of the field, we also present a quick summary of the various picture categorization approaches.