Technical Review of Breast Cancer Screening and Detection using Artificial Intelligence and Radiomics

Breast cancer is a lethal disease. Cancer occurs because of the unwanted growth of cells. Globally breast cancer (BC) is increasing rapidly. BC is the most widespread tumor and is among the foremost reason of cancer-related deaths in females. More alarming is that it is being increasingly diagnosed at a younger age in India compared to the west. Restrictions of the existing imaging modalities aggravated researchers to design new methods for early breast cancer detection. New artificial intelligence techniques and machine learning models with radiomics revolutionize the medical field and are becoming accepted assistive tools in the early diagnosis and prognosis of BC. These techniques have been giving admirable results with superior efficiency in healthcare industry applications over the past decade. This paper gives detailed insight of workflow of radiomics, and the role of Artificial intelligence (AI), Machine learning (ML), and Deep learning (DL) for treatment of BC. Various ML techniques used for early detection of BC are discussed.