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Brain Tumor Detection from MRI Image Using Deep Learning

Debjyoti Ghosh1 , Utpal Roy2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-01 , Page no. 142-149, Jan-2019

Online published on Jan 20, 2019

Copyright © Debjyoti Ghosh, Utpal Roy . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Debjyoti Ghosh, Utpal Roy, “Brain Tumor Detection from MRI Image Using Deep Learning,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.01, pp.142-149, 2019.

MLA Style Citation: Debjyoti Ghosh, Utpal Roy "Brain Tumor Detection from MRI Image Using Deep Learning." International Journal of Computer Sciences and Engineering 07.01 (2019): 142-149.

APA Style Citation: Debjyoti Ghosh, Utpal Roy, (2019). Brain Tumor Detection from MRI Image Using Deep Learning. International Journal of Computer Sciences and Engineering, 07(01), 142-149.

BibTex Style Citation:
@article{Ghosh_2019,
author = {Debjyoti Ghosh, Utpal Roy},
title = {Brain Tumor Detection from MRI Image Using Deep Learning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {07},
Issue = {01},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {142-149},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=610},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=610
TI - Brain Tumor Detection from MRI Image Using Deep Learning
T2 - International Journal of Computer Sciences and Engineering
AU - Debjyoti Ghosh, Utpal Roy
PY - 2019
DA - 2019/01/20
PB - IJCSE, Indore, INDIA
SP - 142-149
IS - 01
VL - 07
SN - 2347-2693
ER -

           

Abstract

Nowadays it is believed that Brain tumor is one of the most harmful diseases that may lead to serious cancer. Major issue of the treatment of brain tumor is early detection of it before leading to malignant stage. More importantly early diagnosis of brain tumors plays an important role in improving further treatment possibilities and thus increases the survival rate of the patients. Here in this study, we have developed a system that can accurately detect tumor from brain Magnetic Resonance Imaging (MRI) images. To do this we have prepared a laboratory made moderate size database collecting various types of brain Magnetic Resonance Imaging images. In this experiment the brain MRI image has been preprocessed first, then the image has been separated into tumor or non-tumor portion of the image using deep neural net.

Key-Words / Index Term

Brain Tumor, MRI, CNN, Anisotropic Diffusion

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