A review of the current state of the computer-aided diagnosis (CAD) systems for breast cancer diagnosis
Zicheng Guo, Jiping Xie, Yi Wan, Min Zhang, Liang Qiao, Jiaxuan Yu, Sijing Chen, Bingxin Li, Yongqiang Yao
Abstract
Breast cancer is one of the most common cancers affecting females worldwide. Early detection and diagnosis of breast cancer may aid in timely treatment, reducing the mortality rate to a great extent. To diagnose breast cancer, computer-aided diagnosis (CAD) systems employ a variety of imaging modalities such as mammography, computerized tomography, magnetic resonance imaging, ultrasound, and histological imaging. CAD and breast-imaging specialists are in high demand for early detection and diagnosis. This system has the potential to enhance the partiality of traditional histopathological image analysis. This review aims to highlight the recent advancements and the current state of CAD systems for breast cancer detection using different modalities.