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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 8, AUGUST 2016

An Approach for Brain Tumor classification using Artificial Neural Network

Tanya Saxena, Vimal Gupta

DOI: 10.17148/IJARCCE.2016.5880

Abstract: Brain Tumor is detected by using automatic support intelligent system through the neural network system. Automatic support intelligent system helps in the diagnostic and assistance in the treatment of the brain tumor. To find the brain tumor is a very difficult problem because of the complexity of the cells in the brain. In this paper we are presenting an analytical method that improves the detection of brain tumor cells in its initial stages by investigating anatomical constructions for training and classification of the samples in neural network system. The back propagation neural network will be used for classification purpose of brain tumor whether it is benign or malignant. In this paper, the MRI images of brain have been taken into consideration.



Keywords: Magnetic Resonance Image, Segmentation, Back Propagation Network, Image processing, Brain tumor.

How to Cite:

[1] Tanya Saxena, Vimal Gupta, β€œAn Approach for Brain Tumor classification using Artificial Neural Network,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5880