Security Based Brain Tumor Classification using Image Fusion

Today, the use of medical images is often complicated for diagnosis process and planning of treatment. The major challenge in image processing and fusion includes data mismatching, data storage issues and security constraints. Although several techniques are being used for image processing, they lac...

Full description

Saved in:
Bibliographic Details
Published in:International journal of innovative technology and exploring engineering 2020-05, Vol.9 (7), p.1315-1318
Main Authors: Sreekrishna, M., V, Rohini, D. S, Premkumar, Sankarram, N., Gnanavel, Dr. S.
Format: Article
Language:English
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 1318
container_issue 7
container_start_page 1315
container_title International journal of innovative technology and exploring engineering
container_volume 9
creator Sreekrishna, M.
V, Rohini
D. S, Premkumar
Sankarram, N.
Gnanavel, Dr. S.
description Today, the use of medical images is often complicated for diagnosis process and planning of treatment. The major challenge in image processing and fusion includes data mismatching, data storage issues and security constraints. Although several techniques are being used for image processing, they lack in security parameters. Our objective is to provide an efficient method for image fusion techniques along with the security paradigms. In order to provide security, encryption standards are used. The results of improved framework give better performance and quality over existing methods in terms of security, database information, and fusion factor.
doi_str_mv 10.35940/ijitee.G5939.059720
format article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_35940_ijitee_G5939_059720</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_35940_ijitee_G5939_059720</sourcerecordid><originalsourceid>FETCH-LOGICAL-c910-228f87b0f9c1e471eb8048969efb7d3bc305e08fb776929d6497c7e5fd6823343</originalsourceid><addsrcrecordid>eNpN0LtqwzAYBWBRWmhI8wYd9AJ2f90sCbo0prlAoEO9C1mWgkJsFyke8vYNcYdO55zlDB9CrwRKJjSHt3iKF-_LrdBMlyC0pPCAFpRKVTCQ4vFff0arnE8AQBgnqtIL9P7t3ZTi5YrXNvsOr5ONA26mfky4PtucY4jOXuI44CnH4Yj3vT16vLmNcXhBT8Ges1_95RI1m8-m3hWHr-2-_jgUThMoKFVByRaCdsRzSXyrgCtdaR9a2bHWMRAe1G3ISlPdVVxLJ70IXaUoY5wtEZ9vXRpzTj6YnxR7m66GgLkbmNnA3A3MbMB-Ae0YUHA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Security Based Brain Tumor Classification using Image Fusion</title><source>ROAD: Directory of Open Access Scholarly Resources</source><creator>Sreekrishna, M. ; V, Rohini ; D. S, Premkumar ; Sankarram, N. ; Gnanavel, Dr. S.</creator><creatorcontrib>Sreekrishna, M. ; V, Rohini ; D. S, Premkumar ; Sankarram, N. ; Gnanavel, Dr. S. ; Department of Computer science and Engineering, Rajalakshmi Engineering College, Chennai, India ; Professor/Head, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India ; Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India</creatorcontrib><description>Today, the use of medical images is often complicated for diagnosis process and planning of treatment. The major challenge in image processing and fusion includes data mismatching, data storage issues and security constraints. Although several techniques are being used for image processing, they lack in security parameters. Our objective is to provide an efficient method for image fusion techniques along with the security paradigms. In order to provide security, encryption standards are used. The results of improved framework give better performance and quality over existing methods in terms of security, database information, and fusion factor.</description><identifier>ISSN: 2278-3075</identifier><identifier>EISSN: 2278-3075</identifier><identifier>DOI: 10.35940/ijitee.G5939.059720</identifier><language>eng</language><ispartof>International journal of innovative technology and exploring engineering, 2020-05, Vol.9 (7), p.1315-1318</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Sreekrishna, M.</creatorcontrib><creatorcontrib>V, Rohini</creatorcontrib><creatorcontrib>D. S, Premkumar</creatorcontrib><creatorcontrib>Sankarram, N.</creatorcontrib><creatorcontrib>Gnanavel, Dr. S.</creatorcontrib><creatorcontrib>Department of Computer science and Engineering, Rajalakshmi Engineering College, Chennai, India</creatorcontrib><creatorcontrib>Professor/Head, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India</creatorcontrib><creatorcontrib>Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India</creatorcontrib><title>Security Based Brain Tumor Classification using Image Fusion</title><title>International journal of innovative technology and exploring engineering</title><description>Today, the use of medical images is often complicated for diagnosis process and planning of treatment. The major challenge in image processing and fusion includes data mismatching, data storage issues and security constraints. Although several techniques are being used for image processing, they lack in security parameters. Our objective is to provide an efficient method for image fusion techniques along with the security paradigms. In order to provide security, encryption standards are used. The results of improved framework give better performance and quality over existing methods in terms of security, database information, and fusion factor.</description><issn>2278-3075</issn><issn>2278-3075</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpN0LtqwzAYBWBRWmhI8wYd9AJ2f90sCbo0prlAoEO9C1mWgkJsFyke8vYNcYdO55zlDB9CrwRKJjSHt3iKF-_LrdBMlyC0pPCAFpRKVTCQ4vFff0arnE8AQBgnqtIL9P7t3ZTi5YrXNvsOr5ONA26mfky4PtucY4jOXuI44CnH4Yj3vT16vLmNcXhBT8Ges1_95RI1m8-m3hWHr-2-_jgUThMoKFVByRaCdsRzSXyrgCtdaR9a2bHWMRAe1G3ISlPdVVxLJ70IXaUoY5wtEZ9vXRpzTj6YnxR7m66GgLkbmNnA3A3MbMB-Ae0YUHA</recordid><startdate>20200530</startdate><enddate>20200530</enddate><creator>Sreekrishna, M.</creator><creator>V, Rohini</creator><creator>D. S, Premkumar</creator><creator>Sankarram, N.</creator><creator>Gnanavel, Dr. S.</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20200530</creationdate><title>Security Based Brain Tumor Classification using Image Fusion</title><author>Sreekrishna, M. ; V, Rohini ; D. S, Premkumar ; Sankarram, N. ; Gnanavel, Dr. S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c910-228f87b0f9c1e471eb8048969efb7d3bc305e08fb776929d6497c7e5fd6823343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Sreekrishna, M.</creatorcontrib><creatorcontrib>V, Rohini</creatorcontrib><creatorcontrib>D. S, Premkumar</creatorcontrib><creatorcontrib>Sankarram, N.</creatorcontrib><creatorcontrib>Gnanavel, Dr. S.</creatorcontrib><creatorcontrib>Department of Computer science and Engineering, Rajalakshmi Engineering College, Chennai, India</creatorcontrib><creatorcontrib>Professor/Head, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India</creatorcontrib><creatorcontrib>Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India</creatorcontrib><collection>CrossRef</collection><jtitle>International journal of innovative technology and exploring engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sreekrishna, M.</au><au>V, Rohini</au><au>D. S, Premkumar</au><au>Sankarram, N.</au><au>Gnanavel, Dr. S.</au><aucorp>Department of Computer science and Engineering, Rajalakshmi Engineering College, Chennai, India</aucorp><aucorp>Professor/Head, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India</aucorp><aucorp>Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Security Based Brain Tumor Classification using Image Fusion</atitle><jtitle>International journal of innovative technology and exploring engineering</jtitle><date>2020-05-30</date><risdate>2020</risdate><volume>9</volume><issue>7</issue><spage>1315</spage><epage>1318</epage><pages>1315-1318</pages><issn>2278-3075</issn><eissn>2278-3075</eissn><abstract>Today, the use of medical images is often complicated for diagnosis process and planning of treatment. The major challenge in image processing and fusion includes data mismatching, data storage issues and security constraints. Although several techniques are being used for image processing, they lack in security parameters. Our objective is to provide an efficient method for image fusion techniques along with the security paradigms. In order to provide security, encryption standards are used. The results of improved framework give better performance and quality over existing methods in terms of security, database information, and fusion factor.</abstract><doi>10.35940/ijitee.G5939.059720</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2278-3075
ispartof International journal of innovative technology and exploring engineering, 2020-05, Vol.9 (7), p.1315-1318
issn 2278-3075
2278-3075
language eng
recordid cdi_crossref_primary_10_35940_ijitee_G5939_059720
source ROAD: Directory of Open Access Scholarly Resources
title Security Based Brain Tumor Classification using Image Fusion
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T13%3A19%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Security%20Based%20Brain%20Tumor%20Classification%20using%20Image%20Fusion&rft.jtitle=International%20journal%20of%20innovative%20technology%20and%20exploring%20engineering&rft.au=Sreekrishna,%20M.&rft.aucorp=Department%20of%20Computer%20science%20and%20Engineering,%20Rajalakshmi%20Engineering%20College,%20Chennai,%20India&rft.date=2020-05-30&rft.volume=9&rft.issue=7&rft.spage=1315&rft.epage=1318&rft.pages=1315-1318&rft.issn=2278-3075&rft.eissn=2278-3075&rft_id=info:doi/10.35940/ijitee.G5939.059720&rft_dat=%3Ccrossref%3E10_35940_ijitee_G5939_059720%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c910-228f87b0f9c1e471eb8048969efb7d3bc305e08fb776929d6497c7e5fd6823343%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true