Classification of brain tumor using 25 layer model of convolution neural networks

  • Sashank , G L SumaLata , Ravi Tej , Abhiram , Pavan Kalyan, Anurag, Arvind

Abstract

Classifying a brain tumor is very important to analyse the class and the stage of the tumor and to think about treatment procedure decisions. Out of all available imaging techniques to detect a brain tumor, MRI is the most preferred one due to its own set of advantages it offers. MRI offers brilliant image quality, hence reducing the scope of error. The primary motive of this paper is to discuss about Convolution neural network using 25 layer model and its potential to detect brain tumor using machine learning technique.

Published
2020-07-01
How to Cite
Sashank , G L SumaLata , Ravi Tej , Abhiram , Pavan Kalyan, Anurag, Arvind. (2020). Classification of brain tumor using 25 layer model of convolution neural networks. International Journal of Advanced Science and Technology, 29(2), 4560 - 4566. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/28463