Detection of brain tumor using neural network

Author

Amsaveni, V. ; Singh, N. Ajith

Author_Institution

Dept. of Electron. & Instrum. Eng., Noorul Islam Univ., Kumaracoil, India

fYear

2013

fDate

4-6 July 2013

Firstpage

1

Lastpage

5

Abstract

A computer based method for defining tumor region in the MRI brain images is presented in this paper. The algorithm incorporates steps for preprocessing, feature extraction and classification using neural network techniques. The extraction of texture features in the detected tumor has been achieved by using Gabor filter. These features are used to train and classify the brain tumor employing Artificial Neural Network classifier. The system significantly improves the classification accuracy of brain tumor detection.

Keywords

Gabor filters; biomedical MRI; brain; feature extraction; image classification; image texture; medical image processing; neural nets; tumours; Gabor filter; MRI brain images; artificial neural network classifier; brain tumor; computer based method; feature extraction; image classification; texture features; Biological neural networks; Design automation; Feature extraction; Image segmentation; Magnetic resonance imaging; Training; Tumors; BPN; Feature Extraction; Gabor; MRI; Segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on

Conference_Location

Tiruchengode

Print_ISBN

978-1-4799-3925-1

Type

conf

DOI

10.1109/ICCCNT.2013.6726524

Filename

6726524