Review on Machine Learning Technique to Detect Breast Cancer

Abstract

The breast cancer is a malignant breast tumor, which is characterized by uncontrolled cell growth in the tissue of the breast. For the survival of patients, detect breast cancer in the early stage is very helpful. To identify breast cancer using imaging techniques are mammography and ultrasound. Radiologists’ technique is used to read the mammograms to detect the sign of breast cancer. Still, the radiologists may miss up to 30% of breast cancer depending upon the density of the breast. To improve the accuracy, different machine learning techniques are used. In this paper, we presented a review of the latest machine learning techniques on breast cancer. After review analyzes, the higher the accuracy achieved by SVM (Support Vector Machine) and ANN (Artificial Neural Network).