Breast cancer detection using machine learning and image processing

Abstract

Nowadays breast cancer is the frequent type of cancer in women which leads to death. Mammography and ultrasound are the common ways to detect breast cancer. This paper employs Machine Learning for identification of breast cancer using mammography images. Ultrasound and Elastography are the combined imaging techniques used to separate benign and malignant breast lesions. Support vector machine is a classifier which is used for the classification of combined B-mode and Elastography image. This paper helps the physician to detect breast cancer earlier.