A Review and Computational Analysis of Breast Cancer Using Different Machine Learning Techniques

Abstract

Breast cancer is found to be prime cause of women death in the current era. It is mainly due to the late detection of the disease. Artificial intelligence and machine learning plays an important role in breast cancer image classification and lesion detection. This paper focuses on the study and analysis of breast image classification, feature extraction and feature selection. It also covers the role of Convolution Neural Network (CNN) architecture with the impact of transfer learning. Furthermore, this survey also discusses different database repositories which are publicly available for breast cancer with their features. Overall, this study and analysis helps the researcher working in this area for the further investigation.