DocumentCode :
678479
Title :
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
Link To Document :
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