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MRI Brain Tumor Locating using Neural Networks

Pavithra R*

Department of Electronics and Communication Engineering, Government College of Engineering, Tirunelveli, Tamil Nadu, India.

Periodicity:January - March'2020
DOI : https://doi.org/10.26634/jip.7.1.17098

Abstract

Brain tumor identification is difficult task in the early stage of life. But now it has been improved with various machine learning algorithms. Now-a-days issue of brain tumor automatic identification is of great curious. In Order to discover the brain tumor of a patient, the data like MRI images of a patient's brain is used. Here our problem is to identify whether tumor is present or not in patients brain. It is very important to detect the tumors at starting level for a healthy life of patient. There are many literatures on discovering these kinds of brain tumors and improving the detection accuracies. In this paper, we estimate the brain tumor seriousness using Convolutional Neural Network(CNN) algorithm, which gives us accurate results.

Keywords

Convolutional Neural Network, Tumor Detection, Wiener Filter.

How to Cite this Article?

Pavithra, R. (2020). MRI Brain Tumor Locating using Neural Networks. i-manager's Journal on Image Processing , 7(1), 35-39. https://doi.org/10.26634/jip.7.1.17098

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