Localization of cancerous changes in images of breast tissue
This paper presents the method of cancer localization in the breast tissue digital images. The method is implemented and tested in order to be included in the image analysis system which aim is to support a surgeon in interoperative probe of pathological areas in a breast tissue. In future it will b...
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creator | Markowska-Kaczmar, U. Kosmal, N. Orzechowski, P. Iwaszko, P. Baranczyk, M. Orzechowski, K. |
description | This paper presents the method of cancer localization in the breast tissue digital images. The method is implemented and tested in order to be included in the image analysis system which aim is to support a surgeon in interoperative probe of pathological areas in a breast tissue. In future it will be supplemented with information about cancerous areas acquired from dielectric maps. The idea of the whole system is described in the paper. Next, the method of cancer localization in the breast tissue digital images is presented. This method enables a detection of the cancerous changes on the basis of Otsu's binarization method and the saturation information from a breast tissue image. It is worth mentioning that after small changes this method can be used to segmentate images due to more complex criteria. |
doi_str_mv | 10.1109/IMCSIT.2009.5352690 |
format | Conference Proceeding |
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The method is implemented and tested in order to be included in the image analysis system which aim is to support a surgeon in interoperative probe of pathological areas in a breast tissue. In future it will be supplemented with information about cancerous areas acquired from dielectric maps. The idea of the whole system is described in the paper. Next, the method of cancer localization in the breast tissue digital images is presented. This method enables a detection of the cancerous changes on the basis of Otsu's binarization method and the saturation information from a breast tissue image. 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It is worth mentioning that after small changes this method can be used to segmentate images due to more complex criteria.</description><subject>Breast tissue</subject><subject>Cancer detection</subject><subject>Dielectrics</subject><subject>Digital images</subject><subject>Image analysis</subject><subject>Image segmentation</subject><subject>Pathology</subject><subject>Probes</subject><subject>Surges</subject><subject>System testing</subject><issn>2157-5525</issn><issn>2157-5533</issn><isbn>9781424453146</isbn><isbn>1424453143</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9j8tKw0AYhQcvYKl5gm7mBRL_uWfAjQS1gYgLsy9z-aMjNZFMutCnt2JxdQ588HEOIRsGFWNgb9qn5qXtKw5gKyUU1xbOyIozZUqlhDgnhTU1k1xKJZjUF_-MqytS5PwOAAxqpSxfkdtuCm6fvt2SppFOAw1uDDhPh0zDmxtfMdM00vThftsR-xldXuiScj7gNbkc3D5jcco16R_u-2Zbds-PbXPXlcnCUmJQPFprgtTaR-0tCGl1LWvtvTIWTUAbpUEPQ1A-xsF7FM7pGmvJhujEmmz-tAkRd5_zcc38tTtdFz_YSkwu</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Markowska-Kaczmar, U.</creator><creator>Kosmal, N.</creator><creator>Orzechowski, P.</creator><creator>Iwaszko, P.</creator><creator>Baranczyk, M.</creator><creator>Orzechowski, K.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200910</creationdate><title>Localization of cancerous changes in images of breast tissue</title><author>Markowska-Kaczmar, U. ; Kosmal, N. ; Orzechowski, P. ; Iwaszko, P. ; Baranczyk, M. ; Orzechowski, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-ec52d997c466bd6b9034968486bb579e7ce9d47eb0fc5bddfbbe3aa68e841fda3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Breast tissue</topic><topic>Cancer detection</topic><topic>Dielectrics</topic><topic>Digital images</topic><topic>Image analysis</topic><topic>Image segmentation</topic><topic>Pathology</topic><topic>Probes</topic><topic>Surges</topic><topic>System testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Markowska-Kaczmar, U.</creatorcontrib><creatorcontrib>Kosmal, N.</creatorcontrib><creatorcontrib>Orzechowski, P.</creatorcontrib><creatorcontrib>Iwaszko, P.</creatorcontrib><creatorcontrib>Baranczyk, M.</creatorcontrib><creatorcontrib>Orzechowski, K.</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 Electronic Library (IEL)</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>Markowska-Kaczmar, U.</au><au>Kosmal, N.</au><au>Orzechowski, P.</au><au>Iwaszko, P.</au><au>Baranczyk, M.</au><au>Orzechowski, K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Localization of cancerous changes in images of breast tissue</atitle><btitle>2009 International Multiconference on Computer Science and Information Technology</btitle><stitle>IMCSIT</stitle><date>2009-10</date><risdate>2009</risdate><spage>413</spage><epage>417</epage><pages>413-417</pages><issn>2157-5525</issn><eissn>2157-5533</eissn><isbn>9781424453146</isbn><isbn>1424453143</isbn><abstract>This paper presents the method of cancer localization in the breast tissue digital images. The method is implemented and tested in order to be included in the image analysis system which aim is to support a surgeon in interoperative probe of pathological areas in a breast tissue. In future it will be supplemented with information about cancerous areas acquired from dielectric maps. The idea of the whole system is described in the paper. Next, the method of cancer localization in the breast tissue digital images is presented. This method enables a detection of the cancerous changes on the basis of Otsu's binarization method and the saturation information from a breast tissue image. It is worth mentioning that after small changes this method can be used to segmentate images due to more complex criteria.</abstract><pub>IEEE</pub><doi>10.1109/IMCSIT.2009.5352690</doi><tpages>5</tpages></addata></record> |
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subjects | Breast tissue Cancer detection Dielectrics Digital images Image analysis Image segmentation Pathology Probes Surges System testing |
title | Localization of cancerous changes in images of breast tissue |
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