Toward an adaptive extraction method of masses in digitized mammograms

The objective of segmentation operation is to separate the mass from the rest of the breast by trying to delimit its borders correctly. This article presents a semi-automatic mass extraction method by application of an adaptive region growing segmentation technique. The region growing process is gui...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Ahlem, Melouah
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 98
container_issue
container_start_page 95
container_title
container_volume
creator Ahlem, Melouah
description The objective of segmentation operation is to separate the mass from the rest of the breast by trying to delimit its borders correctly. This article presents a semi-automatic mass extraction method by application of an adaptive region growing segmentation technique. The region growing process is guided by regional feature analysis; consequently, the result will be a robust algorithm able of respecting various image characteristics.
doi_str_mv 10.1109/WoSSPA.2013.6602343
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6602343</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6602343</ieee_id><sourcerecordid>6602343</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-e0df3c29e6a31ac801d9f3ad0567ef4d27e73eb49618c33458a0d63e10c7b4a33</originalsourceid><addsrcrecordid>eNotj8tKAzEUQONCUGu_oJv8wNSb3DxmlqVYFQoKrbgst5M7NWJmyiT4-noFuzpwFgeOEDMFc6WguXkZNpunxVyDwrlzoNHgmbhSxnm01oC-ENOc3wBANcZbry_Fajt80hgk9ZICHUv8YMlfZaS2xKGXicvrEOTQyUQ5c5axlyEeYok_HP5cSsNhpJSvxXlH75mnJ07E8-p2u7yv1o93D8vFuorK21IxhA5b3bAjVNTWoELTIQWwznNngvbskfemcapuEY2tCYJDVtD6vSHEiZj9dyMz745jTDR-706r-Av_eksX</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Toward an adaptive extraction method of masses in digitized mammograms</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Ahlem, Melouah</creator><creatorcontrib>Ahlem, Melouah</creatorcontrib><description>The objective of segmentation operation is to separate the mass from the rest of the breast by trying to delimit its borders correctly. This article presents a semi-automatic mass extraction method by application of an adaptive region growing segmentation technique. The region growing process is guided by regional feature analysis; consequently, the result will be a robust algorithm able of respecting various image characteristics.</description><identifier>EISBN: 1467355402</identifier><identifier>EISBN: 9781467355407</identifier><identifier>DOI: 10.1109/WoSSPA.2013.6602343</identifier><language>eng</language><publisher>IEEE</publisher><subject>Algorithm design and analysis ; Breast ; Feature extraction ; Image segmentation ; Signal processing algorithms ; Training</subject><ispartof>2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA), 2013, p.95-98</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6602343$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6602343$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ahlem, Melouah</creatorcontrib><title>Toward an adaptive extraction method of masses in digitized mammograms</title><title>2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)</title><addtitle>WoSSPA</addtitle><description>The objective of segmentation operation is to separate the mass from the rest of the breast by trying to delimit its borders correctly. This article presents a semi-automatic mass extraction method by application of an adaptive region growing segmentation technique. The region growing process is guided by regional feature analysis; consequently, the result will be a robust algorithm able of respecting various image characteristics.</description><subject>Algorithm design and analysis</subject><subject>Breast</subject><subject>Feature extraction</subject><subject>Image segmentation</subject><subject>Signal processing algorithms</subject><subject>Training</subject><isbn>1467355402</isbn><isbn>9781467355407</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tKAzEUQONCUGu_oJv8wNSb3DxmlqVYFQoKrbgst5M7NWJmyiT4-noFuzpwFgeOEDMFc6WguXkZNpunxVyDwrlzoNHgmbhSxnm01oC-ENOc3wBANcZbry_Fajt80hgk9ZICHUv8YMlfZaS2xKGXicvrEOTQyUQ5c5axlyEeYok_HP5cSsNhpJSvxXlH75mnJ07E8-p2u7yv1o93D8vFuorK21IxhA5b3bAjVNTWoELTIQWwznNngvbskfemcapuEY2tCYJDVtD6vSHEiZj9dyMz745jTDR-706r-Av_eksX</recordid><startdate>201305</startdate><enddate>201305</enddate><creator>Ahlem, Melouah</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201305</creationdate><title>Toward an adaptive extraction method of masses in digitized mammograms</title><author>Ahlem, Melouah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-e0df3c29e6a31ac801d9f3ad0567ef4d27e73eb49618c33458a0d63e10c7b4a33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithm design and analysis</topic><topic>Breast</topic><topic>Feature extraction</topic><topic>Image segmentation</topic><topic>Signal processing algorithms</topic><topic>Training</topic><toplevel>online_resources</toplevel><creatorcontrib>Ahlem, Melouah</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ahlem, Melouah</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Toward an adaptive extraction method of masses in digitized mammograms</atitle><btitle>2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)</btitle><stitle>WoSSPA</stitle><date>2013-05</date><risdate>2013</risdate><spage>95</spage><epage>98</epage><pages>95-98</pages><eisbn>1467355402</eisbn><eisbn>9781467355407</eisbn><abstract>The objective of segmentation operation is to separate the mass from the rest of the breast by trying to delimit its borders correctly. This article presents a semi-automatic mass extraction method by application of an adaptive region growing segmentation technique. The region growing process is guided by regional feature analysis; consequently, the result will be a robust algorithm able of respecting various image characteristics.</abstract><pub>IEEE</pub><doi>10.1109/WoSSPA.2013.6602343</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier EISBN: 1467355402
ispartof 2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA), 2013, p.95-98
issn
language eng
recordid cdi_ieee_primary_6602343
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Algorithm design and analysis
Breast
Feature extraction
Image segmentation
Signal processing algorithms
Training
title Toward an adaptive extraction method of masses in digitized mammograms
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T20%3A13%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Toward%20an%20adaptive%20extraction%20method%20of%20masses%20in%20digitized%20mammograms&rft.btitle=2013%208th%20International%20Workshop%20on%20Systems,%20Signal%20Processing%20and%20their%20Applications%20(WoSSPA)&rft.au=Ahlem,%20Melouah&rft.date=2013-05&rft.spage=95&rft.epage=98&rft.pages=95-98&rft_id=info:doi/10.1109/WoSSPA.2013.6602343&rft_dat=%3Cieee_6IE%3E6602343%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1467355402&rft.eisbn_list=9781467355407&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6602343&rfr_iscdi=true