UGC Approved Journal no 63975(19)

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

Volume 9 Issue 11
November-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2211617


Registration ID:
505257

Page Number

f870-f875

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Title

Brain Tumor Detection Using Deep Learning

Abstract

Brain cancer is a very serious disease that causes the death of many individuals. Identifying a brain tumor in the early stages of life is a challenging task. In this review article, we focused on deep learning using brain tumor detection using normal brain images or abnormal using deep learning techniques. To detect a patient's brain tumor, we consider patient data such as MRI images of the patient's brain. The proposed network deals with overfitting problem by utilizing dropout regularizer alongside batch normalization, whereas data imbalance problem is dealt with by using twophase training procedure. Here our problem is to identify whether the tumor is present in the patient's brain or not and classify the type of tumor and identify it’s stage. There are three types of tumor Meningioma, Glioms and pituitary. It is very important to detect tumors at the initial level for a healthy life for the patient. There is much literature on detecting these types of brain tumors and improving the accuracy of detection. In this paper, we estimate brain tumor severity using a convolutional neural network algorithm, which gives us accurate results. The proposed method is validated on BRATS 2013 dataset, where it achieves accuracy on 93%.

Key Words

Magnetic resonance imaging (MRI), Convolutional Neural Network, Gliomas, pituitary, Meningioma segmentation, Feature Extraction.

Cite This Article

"Brain Tumor Detection Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.f870-f875, November-2022, Available :http://www.jetir.org/papers/JETIR2211617.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 Detection Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppf870-f875, November-2022, Available at : http://www.jetir.org/papers/JETIR2211617.pdf

Publication Details

Published Paper ID: JETIR2211617
Registration ID: 505257
Published In: Volume 9 | Issue 11 | Year November-2022
DOI (Digital Object Identifier):
Page No: f870-f875
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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