UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2104081


Registration ID:
307557

Page Number

585-590

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Title

Brain Tumor Classification using MRI images with Deep CNN

Abstract

Brain Tumor is a group of cells growing in a certain region in brain.This tissue mass may increase abruptly due to cell multiplication.As brain being the most crucial organ controlling dfferent organs its safety is of utmost importance.The cancer should be precisely identified because early and accurate detection can reduce risk to patients.The MRI images have been taken for applying the imaging processing techniques to classify benign and malignant tumors.MRI images have been choosen for its spatial resolution,contrast and also help in providing greater detail of information.Gaussian filter is used as a de-noising method for the MRI medical data.The medical data holds very important information hence by combining them with Machine Learning(ML) algorithms and feature extraction techniques may produce more accurate and automated results.This research provides the state of the art classification of tumors using advanced ML algorithm CNN(Convolutional Neural Networks).The CNN kernels used of size 3x3 that prevents over fitting.The accuracy achieved by this deep CNN containing 3-layers is 96.08%.Compared to various ML techniques CNN achieved the best result over MLP,SVM,KNN,etc.,

Key Words

Convolutional Neural Network(CNN),Brain Tumor,Classification,Feature Extraction

Cite This Article

"Brain Tumor Classification using MRI images with Deep CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.585-590, April-2021, Available :http://www.jetir.org/papers/JETIR2104081.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Brain Tumor Classification using MRI images with Deep CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp585-590, April-2021, Available at : http://www.jetir.org/papers/JETIR2104081.pdf

Publication Details

Published Paper ID: JETIR2104081
Registration ID: 307557
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 585-590
Country: warangal, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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