Downloads: 143 | Views: 155 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Review Papers | Electronics & Communication Engineering | India | Volume 5 Issue 7, July 2016
Automated Brain Tumor Detection and Brain MRI Classification Using Artificial Neural Network - A Review
Kalpana U. Rathod | Y. D. Kapse 
Abstract: Magnetic resonance imaging (MRI) is an important imaging technique used in the detection of brain tumor. Brain tumor is one of the most dangerous diseases occurring among the children and adults. It is apparent that of chances survival of patient could be expanded if tumor is identified at its initial stage. Manual classification of brain tumor is time devastating and bestows ambiguous results. Automatic image classification is emergent thriving research area in medical field. Brain MRI plays a very important role for radiologists to diagnose and treat brain tumor patients. In this paper we present an overview of the current research being carried out using the neural network techniques and Tissue Segmentation Techniques for the diagnosis of brain tumor. The goal of this study is to understand use of neural networks in classification of brain MRI image and use of tissue Segmentation techniques including Thresholding, Region Based Segmentation and Edge Based Segmentation in detection of tumor in brain MRI image.
Keywords: MRI Brain Image, GLCM, FBNN, Support Vector Machine SVM, Fuzzy C-Means
Edition: Volume 5 Issue 7, July 2016,
Pages: 175 - 179
Similar Articles with Keyword 'GLCM'
Research Paper, Electronics & Communication Engineering, India, Volume 3 Issue 6, June 2014Pages: 2062 - 2066
Color Based Image Retrieval Using Texture Features and Image Mining Techniques
Deepashree K V
Research Paper, Electronics & Communication Engineering, India, Volume 3 Issue 6, June 2014Pages: 2327 - 2330
Segmentation and Feature Extraction of Lung Region for the Early Detection of Lung Tumor
Jaspinder Kaur | Nidhi Garg  | Daljeet Kaur