Development of Algorithms for the Classification of the benign and malignant tumors
The main objective of this paper is to develop and implement new algorithms of classification and show that the method of the nearest neighbors rule can be also applied successfully to deal with the medical classification problems. In this context, we developed two original algorithms of classificat...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 506 |
---|---|
container_issue | |
container_start_page | 503 |
container_title | |
container_volume | 1019 |
creator | Zouaoui, L Azizi, H Boughazi, M Akdag, H |
description | The main objective of this paper is to develop and implement new algorithms of classification and show that the method of the nearest neighbors rule can be also applied successfully to deal with the medical classification problems. In this context, we developed two original algorithms of classification by the method of the nearest neighbors rule and we validated them by a real application in the field of classification for the assistance to the treatment of the breast cancer to detect possible benign or malignant tumors. |
doi_str_mv | 10.1063/1.2953033 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_proquest_miscellaneous_33561283</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>33561283</sourcerecordid><originalsourceid>FETCH-LOGICAL-h220t-6a18e03dbcb0d79b676c892d07208aa7477bc367c6b1f2b09de0e6fb85564d5c3</originalsourceid><addsrcrecordid>eNotjEtLAzEYRQMqWGsX_oOsBBdTvzwmj2WpTyi4UMHdkGQynUhmUifTgv_eKRUu3MvhcBG6IbAkINg9WVJdMmDsDC20VCBZyWEKnKMZgOYF5ezrEl3l_A1AtZRqht4f_MHHtOt8P-LU4FXcpiGMbZdxkwY8th6vo8k5NMGZMaT-KB2p9X3Y9tj0Ne5MnKaZDsZ9l4Z8jS4aE7Nf_PccfT49fqxfis3b8-t6tSlaSmEshCHKA6uts1BLbYUUTmlag6SgjJFcSuuYkE5Y0lALuvbgRWNVWQpel47N0d3ptzWx2g2hM8NvlUyoXlab6siAUK05Zwcyubcndzekn73PY9WF7HyMpvdpnyvGSkGoYuwPs1RhMQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>33561283</pqid></control><display><type>conference_proceeding</type><title>Development of Algorithms for the Classification of the benign and malignant tumors</title><source>AIP Journals Complete</source><creator>Zouaoui, L ; Azizi, H ; Boughazi, M ; Akdag, H</creator><creatorcontrib>Zouaoui, L ; Azizi, H ; Boughazi, M ; Akdag, H</creatorcontrib><description>The main objective of this paper is to develop and implement new algorithms of classification and show that the method of the nearest neighbors rule can be also applied successfully to deal with the medical classification problems. In this context, we developed two original algorithms of classification by the method of the nearest neighbors rule and we validated them by a real application in the field of classification for the assistance to the treatment of the breast cancer to detect possible benign or malignant tumors.</description><identifier>ISSN: 0094-243X</identifier><identifier>ISBN: 9780735405400</identifier><identifier>ISBN: 0735405409</identifier><identifier>DOI: 10.1063/1.2953033</identifier><language>eng</language><publisher>AIP Publishing</publisher><subject>Computer Science</subject><ispartof>1st Mediterranean Conference on Intelligent Systems and Automation, 2008, Vol.1019, p.503-506</ispartof><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,885,27922,27923</link.rule.ids><backlink>$$Uhttps://hal.science/hal-01299443$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Zouaoui, L</creatorcontrib><creatorcontrib>Azizi, H</creatorcontrib><creatorcontrib>Boughazi, M</creatorcontrib><creatorcontrib>Akdag, H</creatorcontrib><title>Development of Algorithms for the Classification of the benign and malignant tumors</title><title>1st Mediterranean Conference on Intelligent Systems and Automation</title><description>The main objective of this paper is to develop and implement new algorithms of classification and show that the method of the nearest neighbors rule can be also applied successfully to deal with the medical classification problems. In this context, we developed two original algorithms of classification by the method of the nearest neighbors rule and we validated them by a real application in the field of classification for the assistance to the treatment of the breast cancer to detect possible benign or malignant tumors.</description><subject>Computer Science</subject><issn>0094-243X</issn><isbn>9780735405400</isbn><isbn>0735405409</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNotjEtLAzEYRQMqWGsX_oOsBBdTvzwmj2WpTyi4UMHdkGQynUhmUifTgv_eKRUu3MvhcBG6IbAkINg9WVJdMmDsDC20VCBZyWEKnKMZgOYF5ezrEl3l_A1AtZRqht4f_MHHtOt8P-LU4FXcpiGMbZdxkwY8th6vo8k5NMGZMaT-KB2p9X3Y9tj0Ne5MnKaZDsZ9l4Z8jS4aE7Nf_PccfT49fqxfis3b8-t6tSlaSmEshCHKA6uts1BLbYUUTmlag6SgjJFcSuuYkE5Y0lALuvbgRWNVWQpel47N0d3ptzWx2g2hM8NvlUyoXlab6siAUK05Zwcyubcndzekn73PY9WF7HyMpvdpnyvGSkGoYuwPs1RhMQ</recordid><startdate>20080101</startdate><enddate>20080101</enddate><creator>Zouaoui, L</creator><creator>Azizi, H</creator><creator>Boughazi, M</creator><creator>Akdag, H</creator><general>AIP Publishing</general><scope>7SC</scope><scope>7U5</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>1XC</scope></search><sort><creationdate>20080101</creationdate><title>Development of Algorithms for the Classification of the benign and malignant tumors</title><author>Zouaoui, L ; Azizi, H ; Boughazi, M ; Akdag, H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-h220t-6a18e03dbcb0d79b676c892d07208aa7477bc367c6b1f2b09de0e6fb85564d5c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Computer Science</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zouaoui, L</creatorcontrib><creatorcontrib>Azizi, H</creatorcontrib><creatorcontrib>Boughazi, M</creatorcontrib><creatorcontrib>Akdag, H</creatorcontrib><collection>Computer and Information Systems Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Hyper Article en Ligne (HAL)</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zouaoui, L</au><au>Azizi, H</au><au>Boughazi, M</au><au>Akdag, H</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Development of Algorithms for the Classification of the benign and malignant tumors</atitle><btitle>1st Mediterranean Conference on Intelligent Systems and Automation</btitle><date>2008-01-01</date><risdate>2008</risdate><volume>1019</volume><spage>503</spage><epage>506</epage><pages>503-506</pages><issn>0094-243X</issn><isbn>9780735405400</isbn><isbn>0735405409</isbn><abstract>The main objective of this paper is to develop and implement new algorithms of classification and show that the method of the nearest neighbors rule can be also applied successfully to deal with the medical classification problems. In this context, we developed two original algorithms of classification by the method of the nearest neighbors rule and we validated them by a real application in the field of classification for the assistance to the treatment of the breast cancer to detect possible benign or malignant tumors.</abstract><pub>AIP Publishing</pub><doi>10.1063/1.2953033</doi><tpages>4</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0094-243X |
ispartof | 1st Mediterranean Conference on Intelligent Systems and Automation, 2008, Vol.1019, p.503-506 |
issn | 0094-243X |
language | eng |
recordid | cdi_proquest_miscellaneous_33561283 |
source | AIP Journals Complete |
subjects | Computer Science |
title | Development of Algorithms for the Classification of the benign and malignant tumors |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T19%3A16%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Development%20of%20Algorithms%20for%20the%20Classification%20of%20the%20benign%20and%20malignant%20tumors&rft.btitle=1st%20Mediterranean%20Conference%20on%20Intelligent%20Systems%20and%20Automation&rft.au=Zouaoui,%20L&rft.date=2008-01-01&rft.volume=1019&rft.spage=503&rft.epage=506&rft.pages=503-506&rft.issn=0094-243X&rft.isbn=9780735405400&rft.isbn_list=0735405409&rft_id=info:doi/10.1063/1.2953033&rft_dat=%3Cproquest_hal_p%3E33561283%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=33561283&rft_id=info:pmid/&rfr_iscdi=true |