Approach for Classification of Breast Cancer: State-of-The-Art, Future Challenges and Research Direction
Breast cancer is one of the most common type of cancer leading to death the women. Cancer grows due to
uncontrolled increase of the cells in the breast and spreads gradually throughout the whole body resulting in death. The
specialist said to reduce the death rate from breast cancer need to detect early an d diagnosis the diseases effectively . This
survey paper aims at determining the current state of art in breast cancer detection and limitations of existing techniques. The
survey reveals that various approaches have been proposed based on fuzzy logic, deep learning, neural network and other
similar approaches which helping specialist in breast cancer to detect and prevent this disease. The comparison between
existing approaches was done based on three main evaluation parameters i.e., accuracy, sensitivity and specificity along with
data sets used.
Index Terms—Breast Cancer, Fuzzy System, Deep learning, Mammogram, Neural network.