K-nearest unrepeatable cell graph model of histopathological tissue image

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dc.authorscopusid56780065900
dc.authorscopusid16230131200
dc.authorscopusid55807973900
dc.contributor.authorSerin F.
dc.contributor.authorErturkler M.
dc.contributor.authorGul M.
dc.date.accessioned2024-08-04T20:04:01Z
dc.date.available2024-08-04T20:04:01Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.description2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 16 May 2015 through 19 May 2015 -- 113052en_US
dc.description.abstractOne of the most important components in the histopathological tissue images is the cell nuclei. Features such as the number, morphological properties and location of the cell nuclei offer useful information for histopathological analysis. Cell-graph models are constructed using location information of cell nuclei and important distinctive information can be obtained from the features of the models. The models are generally formed according to the distance between the cell nuclei. However, the distance between the cell nuclei is affected by various factors during obtaining tissue image and shows variety. In this study, using one-way neighborhood relationship of the nuclei with each other is proposed for the construction of the cell-graph models of histopathological images. The proposed approach has been tested on 20 healthy and 20 necrotic liver tissue images. The results show that graph models constructed by the neighborhood relationship, have more distinctive characteristics than distance-based graph models. © 2015 IEEE.en_US
dc.identifier.doi10.1109/SIU.2015.7130414
dc.identifier.endpage2588en_US
dc.identifier.isbn9781467373869
dc.identifier.scopus2-s2.0-84939128513en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2585en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2015.7130414
dc.identifier.urihttps://hdl.handle.net/11616/92287
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCell graph modelingen_US
dc.subjectComputer-aided diagnosisen_US
dc.subjectHistopathological image analysisen_US
dc.subjectTissue modelingen_US
dc.titleK-nearest unrepeatable cell graph model of histopathological tissue imageen_US
dc.title.alternativeHistopatolojik Doku Imgesinin K-En Yakin Tekrarsiz Hücre Graf Modelien_US
dc.typeConference Objecten_US

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