UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 8 Issue 5
January-1970
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2105837


Registration ID:
310126

Page Number

g278-g287

Share This Article


Jetir RMS

Title

BRAIN TUMOR DETECTION USING FASTER REGION-BASED CONVOLUTIONAL NEURAL NETWORKS ON CT AND MRI SCAN

Abstract

Brain tumor is the cancerous disease where abnormal cells are found in the brain. This can be cured if we detect the brain tumor at an early stage. In this proposed system the tumor area is marked and the kind of tumor present in the brain is defined based on MRI image of brain. Alex Net model is used as a base model along with Region Proposal Network (RPN) by Faster Region Based-Convolutional Neural Network(R-CNN) algorithm, for the classification of different types of tumors. The proposed system helps to predict the correct type of tumor with better accuracy. Cancer as a disease has taken the form of an epidemic for human beings. This work processes radiograph CT and MRI images to perform detection of brain tumor. The Faster RCNN is used to improve the object detection from the brain images. The database taken is from Google open source brain scans and the system has been developed on MATLAB v2019 for Windows. It reviews image processing for medical imaging and associated state- of-art literature. This work proposes to develop a cost-effective system accessible to medical practitioners on everyday computers.

Key Words

Brain tumor, MRI scan & Neural Networks

Cite This Article

"BRAIN TUMOR DETECTION USING FASTER REGION-BASED CONVOLUTIONAL NEURAL NETWORKS ON CT AND MRI SCAN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.g278-g287, May-2021, Available :http://www.jetir.org/papers/JETIR2105837.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 FASTER REGION-BASED CONVOLUTIONAL NEURAL NETWORKS ON CT AND MRI SCAN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppg278-g287, May-2021, Available at : http://www.jetir.org/papers/JETIR2105837.pdf

Publication Details

Published Paper ID: JETIR2105837
Registration ID: 310126
Published In: Volume 8 | Issue 5 | Year January-1970
DOI (Digital Object Identifier):
Page No: g278-g287
Country: Namakkal, Tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000564

Print This Page

Current Call For Paper

Jetir RMS