MRI based Breast Cancer Segmentation and Classification using Machine Learning Techniques

Abstract

Presently, the death rate of breast cancer among women is in dangerous proposition in both developing and developed countries. This threat is addressed by the effective detection of breast cancer in earlier stages. Henceforth, the early detection of breast cancer enhances the probability of cure and survival rate. So, it is vital to develop an automated system for detecting the breast cancer in earlier stages. Magnetic Resonance Imaging (MRI) is the regularly utilized diagnosis tool for detecting and classifying the normalities and abnormalities of breast. This paper analysis the previous research carried-out in breast cancer detection and also explores the issues faced by the researchers in existing works. In addition, this paper assists the researchers for attaining better solution to the current problems faced in breast cancer detection.