期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：3
页码：3931
DOI：10.15680/IJIRCCE.2017.0503041
出版社：S&S Publications
摘要：In recent years, MRI is useful for diagnosing a variety of disorders. One of the main application ofMagnetic Resonance Imaging (MRI) is Brain tumour detection. The main objective of this paper is to analyse the brainimages in order to know whether the brain is normal or abnormal and also detect the tumour spread cells in the brain.Initially, Pre-processing the MR image to make it fit for noise removal process is carried out by Median Filter andSegmentation using Fuzzy C-Means (FCM). After that, the important feature like size, texture and volume will beextracted using Grey Level Co-Occurrence Matrix (GLCM). At last, Deep Neural Network (DNN) is employed forclassification into normal or abnormal. The conclusion is that, ACO is carried out by comparing the results ofsegmentation and feature extraction methods. Then, the spread cells of the tumour will be detected.
