UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 10 | Issue 2 | February 2023

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 2 Issue 7
July-2015
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:
JETIR1507031


Registration ID:
150747

Page Number

3158-3162

Share This Article


Jetir RMS

Title

Segmentation of Brain Tumor from MRI Images

Abstract

Brain tumor is one of the most life threatening diseases and hence its detection should be fast as well as accurate. In order to reduce the death rate of patients, tumor should be detected at an earlier stage. This can be achieved by the execution of tumor detection on medical images. Magnetic resonance images are used as a tool to detect the tumor growth in brain. The input image is taken from the available database or real time image so that the presence of tumor in input image can be detected and the region of interest can be analyzed. This paper is based on the segmentation of brain tumor from MRI images.

Key Words

Brain tumor, MRI, Segmentation, Registration

Cite This Article

"Segmentation of Brain Tumor from MRI Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 7, page no.3158-3162, July-2015, Available :http://www.jetir.org/papers/JETIR1507031.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

"Segmentation of Brain Tumor from MRI Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 7, page no. pp3158-3162, July-2015, Available at : http://www.jetir.org/papers/JETIR1507031.pdf

Publication Details

Published Paper ID: JETIR1507031
Registration ID: 150747
Published In: Volume 2 | Issue 7 | Year July-2015
DOI (Digital Object Identifier):
Page No: 3158-3162
Country: VARKALA, KERALA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002997

Print This Page

Current Call For Paper

Jetir RMS