Paper Title

A CONVOLUTION NEURAL NETWORK ALGORITHM FOR BRAIN TUMOR IMAGE SEGMENTATION

Authors

Priya K , Dr.O.Saraniya

Keywords

Magnetic Resonance Imaging, Glioma, Brain

Abstract

Gliomas are the most common occuring condition in brain tumor. It is aggressive in nature leading to a very short life span and predicting the presence of high grade glioma has many real time difficulties. Even under treatment patients do not survive an average of more than 14 years, this situation requires a technique that can predict the presence of tumor at the early stage. For these resons we propose an automatic segmentation method based on convolution neural network in MRI (Magnetic Resonance Imaging) images. Convolution Neural Network (CNN) is an artificial neural network in which several neurons are connected in the way of visual cortex. Convolution layers have fewer weights which make CNN easy to train. In this paper, a sequence of trained data is fed to the pre-processor which estimate the bias field correction. This image is normalized and standard deviation is calculated. Using fuzzy clustering the presence of tumor cell is determined by patch extraction from different patches.. In CNN, Back propagation is used to calculate the gradient of loss function with respect to all weights in the network. Pooling and data augmentation technique are used in CNN.

How To Cite

"A CONVOLUTION NEURAL NETWORK ALGORITHM FOR BRAIN TUMOR IMAGE SEGMENTATION", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 3, page no.183 - 188, March-2017, Available :https://ijsdr.org/papers/IJSDR1703028.pdf

Issue

Volume 2 Issue 3, March-2017

Pages : 183 - 188

Other Publication Details

Paper Reg. ID: IJSDR_170101

Published Paper Id: IJSDR1703028

Downloads: 000347198

Research Area: Engineering

Country: Coimbatore, TamilNadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1703028

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1703028

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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