Statistical analysis of threshold algorithms in image processing based cancer cell detection

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dc.authorscopusid56246487400
dc.authorscopusid24825546500
dc.contributor.authorKoc, G.
dc.contributor.authorSario?lu, B.
dc.date.accessioned2024-07-18T20:17:11Z
dc.date.available2024-07-18T20:17:11Z
dc.date.issued2014
dc.description2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 -- 23 April 2014 through 25 April 2014 -- Trabzon -- 106053en_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. © 2014 IEEE.en_US
dc.identifier.doi10.1109/SIU.2014.6830270
dc.identifier.endpage484en_US
dc.identifier.isbn9781479948741
dc.identifier.scopus2-s2.0-84903764464en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage481en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2014.6830270
dc.identifier.urihttps://hdl.handle.net/11411/6429
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartof2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedingsen_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.subjectAlgorithmsen_US
dc.subjectDiseasesen_US
dc.subjectImage Processingen_US
dc.subjectCancer Cell Detectionen_US
dc.subjectCancer Detectionen_US
dc.subjectHistogramen_US
dc.subjectHistogram Thresholden_US
dc.subjectNoise Removalen_US
dc.subjectThresholden_US
dc.subjectThreshold Algorithmsen_US
dc.subjectGraphic Methodsen_US
dc.titleStatistical analysis of threshold algorithms in image processing based cancer cell detection
dc.title.alternativeGörüntü işlemeile kanserli hücre tespiti için histogram eşik de?er yönteminin istatiksel incelenmesi
dc.typeConference Object

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