Quantifying the necrotic areas on liver tissues using support vector machine (SVM) algorithm and Gabor filters

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dc.authorscopusid55364892700
dc.authorscopusid16230131200
dc.authorscopusid55364885000
dc.authorscopusid55807973900
dc.authorscopusid55396465200
dc.contributor.authorÖzseven T.
dc.contributor.authorErtürkler M.
dc.contributor.authorNurmuhammed M.
dc.contributor.authorGül M.
dc.contributor.authorHarputluo?lu M.
dc.date.accessioned2024-08-04T20:03:59Z
dc.date.available2024-08-04T20:03:59Z
dc.date.issued2012
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 -- 2 July 2012 through 4 July 2012 -- Trabzon -- 92831en_US
dc.description.abstractLiver is a vital organ of a body that has numerous functions. Severe malfunctioning of these functions causes a liver necrosis. The diagnosis of this necrosis is performed by a specialist who uses appropriate microscopic analysis. However, because this analysis is based on specialist's opinion, the results could be subjective and error prone. The aim of this study is to quantify the hepatic necrotic areas using computer aided algorithms and provide quantitative results that are not prone to errors. © 2012 IEEE.en_US
dc.identifier.doi10.1109/INISTA.2012.6247032
dc.identifier.isbn9781467314466
dc.identifier.scopus2-s2.0-84866599233en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/INISTA.2012.6247032
dc.identifier.urihttps://hdl.handle.net/11616/92246
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofINISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcomputer assisted diagnosisen_US
dc.subjectgabor filteren_US
dc.subjectliver necrosisen_US
dc.subjectSVen_US
dc.titleQuantifying the necrotic areas on liver tissues using support vector machine (SVM) algorithm and Gabor filtersen_US
dc.typeConference Objecten_US

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