Open AccessMRI based Breast Cancer Segmentation and Classification using Machine Learning Techniques
Author(s) -
N. P,
D. Venkatasekhar,
P. Venkatramana,
C. Rani
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b6827.129219
Subject(s) - breast cancer , segmentation , proposition , cancer detection , magnetic resonance imaging , mammography , cancer , medicine , medical physics , cure rate , computer science , artificial intelligence , machine learning , radiology , philosophy , epistemology
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.