Using Deep Learning Techniques To Enhance Brain Tumor Diagnosis And Classification On Mri Images

Document Type : Primary Research paper

Authors

1 Dept Of Computer Applications, Kongu Engineering College, India,

2 Dept Of Computer Science & Engineering, Kongu Engineering College, India,

3 Pg Student, Dept Of Computer Applications, Kongu Engineering College, India

Abstract

Brain Tumor Classification Is Actually Difficult Task In Early Stages Of Life.
But Now It Became Advanced With Varied Machine Learning Algorithms. Currently A
Day’s Issue Of Tumour Automatic Identification Is Of Great Interest. So As To Detect The
Tumour Of A Patient We Tend To Think About The Info Of Patients Like Mri Pictures Of
A Patient’s Brain. Here Our Problem Is To Spot Whether Or Not Tumour Is Present In
Patient’s Brain Or Not. It's Important To Detect The Tumors At Beginning Level For A
Healthy Lifetime Of A Patient. There Are Several Literatures On Detecting These Types Of
Brain Tumors And Raising The Detection Accuracies. During This Paper, We Tend To
Estimate The Tumour Severity Using Convolutional Neural Network Algorithm Which
Provides The Correct Results.

Keywords

Int. J. of Aquatic Science
Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 1469-1474

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