Breast Cancer Detection Techniques: A Review
Keywords:
Breast Cancer, Machine Learning, Deep Learning, Feature ExtractionAbstract
Of all malignancies diagnosed in women, breast cancer accounts for one-third. 18% of cancer-related fatalities globally are mostly caused by this. Breast cancer used to be the leading cause of mortality for women, but since 1985, lung cancer has taken over that spot. Due to inadequate knowledge of the subject, this malignancy cannot be prevented. However, cutting-edge breast cancer therapy methods are incredibly effective. Pre-processing, feature extraction, and classification are some of the processes involved in the identification of breast cancer. This research reviews the machine learning architectures for the identification of breast cancer.