Statistical Analysis of Threshold Algorithms in Image Processing Based Cancer Cell Detection

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dc.authoridSarioglu, Baykal/0000-0002-7433-3823
dc.authorwosidSarioglu, Baykal/AAO-4915-2020
dc.contributor.authorKoc, Gamze
dc.contributor.authorSarioglu, Baykal
dc.date.accessioned2024-07-18T20:54:18Z
dc.date.available2024-07-18T20:54:18Z
dc.date.issued2014
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEYen_US
dc.description.abstractIn this paper, an algorithm which is implemented for cancer detection in image processing and the results of the algorithm are mentioned. Researched work has three main steps. In first step, images are passed through significant steps for noise removal; at the second step, various histogram thresholds are calculated and at the last step cancer is detected with respect to calculated thresholds. As a result, the highest success rate is obtained as 81.25 percent while the lowest success rate is 37.5 percent.en_US
dc.description.sponsorshipIEEE,Karadeniz Tech Univ, Dept Comp Engn & Elect & Elect Engnen_US
dc.identifier.endpage484en_US
dc.identifier.isbn978-1-4799-4874-1
dc.identifier.issn2165-0608
dc.identifier.startpage481en_US
dc.identifier.urihttps://hdl.handle.net/11411/8676
dc.identifier.wosWOS:000356351400099en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2014 22nd Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCancer Detectionen_US
dc.subjectHistogramen_US
dc.subjectThresholden_US
dc.titleStatistical Analysis of Threshold Algorithms in Image Processing Based Cancer Cell Detectionen_US
dc.typeConference Objecten_US

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