Detecting cells using image segmentation of the cervical cancer images taken from scanning electron microscope
In this study, Matlab basic cell processes have implemented normal, benign and malign cervical cells taken from the Scanning Electron Microscope. These matlab basic cell process are binary gradient mask, dilated gradient mask, binary image with filled holes, cleared border, segmented, and outlined o...
Gespeichert in:
| Veröffentlicht in: | The online journal of science and technology 2018-01, Vol.8 (1), p.47-53 |
|---|---|
| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 53 |
|---|---|
| container_issue | 1 |
| container_start_page | 47 |
| container_title | The online journal of science and technology |
| container_volume | 8 |
| creator | Aytaç Korkmaz,Sevcan |
| description | In this study, Matlab basic cell processes have implemented normal, benign and
malign cervical cells taken from the Scanning Electron Microscope. These matlab basic cell
process are binary gradient mask, dilated gradient mask, binary image with filled holes, cleared
border, segmented, and outlined original. According to the results obtained after these
operations, a difference has observed for malign image in images obtained from binary gradient
mask, dilated gradient mask process. White space that is obtained after binary gradient mask
and dilated gradient mask process applied to the malignant images were found to be much more
than normal and benign images. |
| format | Article |
| fullrecord | <record><control><sourceid>idealonline</sourceid><recordid>TN_cdi_idealonline_journals_IDEAL_62434</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>IDEAL_62434</sourcerecordid><originalsourceid>FETCH-idealonline_journals_IDEAL_624343</originalsourceid><addsrcrecordid>eNqNjMEKwjAQRIMoKNp_2JunQjS14lG0ouDRewlxW6PpRrLR7zeiB4-e5sG8mZ4YzWdFmS_VSvZ_eCgy5quUciYXqlwWI0FbjGiipRYMOsfw4DfbTrcIjG2HFHW0nsA3EC-YrPC0RjswmhJ_TIaob0jQBN8Bp4beJ-jSc0jTzprg2fg7TsSg0Y4x--ZYTHfVabPP7Rm18-QsYX31j0CprQ_ban2sy3mhCvW_-QLgAVAm</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Detecting cells using image segmentation of the cervical cancer images taken from scanning electron microscope</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Aytaç Korkmaz,Sevcan</creator><contributor>Şişman,Aytekin ; Dündar,Mustafa Şahin</contributor><creatorcontrib>Aytaç Korkmaz,Sevcan ; Şişman,Aytekin ; Dündar,Mustafa Şahin</creatorcontrib><description>In this study, Matlab basic cell processes have implemented normal, benign and
malign cervical cells taken from the Scanning Electron Microscope. These matlab basic cell
process are binary gradient mask, dilated gradient mask, binary image with filled holes, cleared
border, segmented, and outlined original. According to the results obtained after these
operations, a difference has observed for malign image in images obtained from binary gradient
mask, dilated gradient mask process. White space that is obtained after binary gradient mask
and dilated gradient mask process applied to the malignant images were found to be much more
than normal and benign images.</description><identifier>ISSN: 2146-7390</identifier><identifier>EISSN: 2146-7390</identifier><language>eng</language><publisher>Sakarya Üniversitesi Yayınları</publisher><subject>Bilim-Teknoloji</subject><ispartof>The online journal of science and technology, 2018-01, Vol.8 (1), p.47-53</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><contributor>Şişman,Aytekin</contributor><contributor>Dündar,Mustafa Şahin</contributor><creatorcontrib>Aytaç Korkmaz,Sevcan</creatorcontrib><title>Detecting cells using image segmentation of the cervical cancer images taken from scanning electron microscope</title><title>The online journal of science and technology</title><description>In this study, Matlab basic cell processes have implemented normal, benign and
malign cervical cells taken from the Scanning Electron Microscope. These matlab basic cell
process are binary gradient mask, dilated gradient mask, binary image with filled holes, cleared
border, segmented, and outlined original. According to the results obtained after these
operations, a difference has observed for malign image in images obtained from binary gradient
mask, dilated gradient mask process. White space that is obtained after binary gradient mask
and dilated gradient mask process applied to the malignant images were found to be much more
than normal and benign images.</description><subject>Bilim-Teknoloji</subject><issn>2146-7390</issn><issn>2146-7390</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqNjMEKwjAQRIMoKNp_2JunQjS14lG0ouDRewlxW6PpRrLR7zeiB4-e5sG8mZ4YzWdFmS_VSvZ_eCgy5quUciYXqlwWI0FbjGiipRYMOsfw4DfbTrcIjG2HFHW0nsA3EC-YrPC0RjswmhJ_TIaob0jQBN8Bp4beJ-jSc0jTzprg2fg7TsSg0Y4x--ZYTHfVabPP7Rm18-QsYX31j0CprQ_ban2sy3mhCvW_-QLgAVAm</recordid><startdate>201801</startdate><enddate>201801</enddate><creator>Aytaç Korkmaz,Sevcan</creator><general>Sakarya Üniversitesi Yayınları</general><scope>IEBAR</scope></search><sort><creationdate>201801</creationdate><title>Detecting cells using image segmentation of the cervical cancer images taken from scanning electron microscope</title><author>Aytaç Korkmaz,Sevcan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-idealonline_journals_IDEAL_624343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Bilim-Teknoloji</topic><toplevel>online_resources</toplevel><creatorcontrib>Aytaç Korkmaz,Sevcan</creatorcontrib><collection>Idealonline online kütüphane - Journals</collection><jtitle>The online journal of science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aytaç Korkmaz,Sevcan</au><au>Şişman,Aytekin</au><au>Dündar,Mustafa Şahin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detecting cells using image segmentation of the cervical cancer images taken from scanning electron microscope</atitle><jtitle>The online journal of science and technology</jtitle><date>2018-01</date><risdate>2018</risdate><volume>8</volume><issue>1</issue><spage>47</spage><epage>53</epage><pages>47-53</pages><issn>2146-7390</issn><eissn>2146-7390</eissn><abstract>In this study, Matlab basic cell processes have implemented normal, benign and
malign cervical cells taken from the Scanning Electron Microscope. These matlab basic cell
process are binary gradient mask, dilated gradient mask, binary image with filled holes, cleared
border, segmented, and outlined original. According to the results obtained after these
operations, a difference has observed for malign image in images obtained from binary gradient
mask, dilated gradient mask process. White space that is obtained after binary gradient mask
and dilated gradient mask process applied to the malignant images were found to be much more
than normal and benign images.</abstract><pub>Sakarya Üniversitesi Yayınları</pub></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2146-7390 |
| ispartof | The online journal of science and technology, 2018-01, Vol.8 (1), p.47-53 |
| issn | 2146-7390 2146-7390 |
| language | eng |
| recordid | cdi_idealonline_journals_IDEAL_62434 |
| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Bilim-Teknoloji |
| title | Detecting cells using image segmentation of the cervical cancer images taken from scanning electron microscope |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T17%3A18%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-idealonline&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Detecting%20cells%20using%20image%20segmentation%20of%20the%20cervical%20cancer%20images%20taken%20from%20scanning%20electron%20microscope&rft.jtitle=The%20online%20journal%20of%20science%20and%20technology&rft.au=Ayta%C3%A7%20Korkmaz,Sevcan&rft.date=2018-01&rft.volume=8&rft.issue=1&rft.spage=47&rft.epage=53&rft.pages=47-53&rft.issn=2146-7390&rft.eissn=2146-7390&rft_id=info:doi/&rft_dat=%3Cidealonline%3EIDEAL_62434%3C/idealonline%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |