K-Nearest Unrepeatable Cell Graph Model of Histopathological Tissue Image

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dc.authoridSerin, Faruk/0000-0002-1458-4508
dc.authoridGül, Mehmet/0000-0002-1374-0783
dc.authorwosidSerin, Faruk/AAZ-2560-2020
dc.authorwosidErturkler, Metin/Y-1230-2019
dc.authorwosidGül, Mehmet/ABI-6336-2020
dc.contributor.authorSerin, Faruk
dc.contributor.authorErturkler, Metin
dc.contributor.authorGul, Mehmet
dc.date.accessioned2024-08-04T20:59:48Z
dc.date.available2024-08-04T20:59:48Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_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.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage2588en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.startpage2585en_US
dc.identifier.urihttps://hdl.handle.net/11616/103547
dc.identifier.wosWOS:000380500900630en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 23rd 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.subjectHistopathological image analysisen_US
dc.subjectComputer-aided diagnosisen_US
dc.subjectCell graph modelingen_US
dc.subjectTissue modelingen_US
dc.titleK-Nearest Unrepeatable Cell Graph Model of Histopathological Tissue Imageen_US
dc.typeConference Objecten_US

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