A novel proximity graph: Circular neighborhood cell graph for histopathological tissue image analyzing

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dc.authoridSerin, Faruk/0000-0002-1458-4508
dc.authorwosidSerin, Faruk/AAZ-2560-2020
dc.contributor.authorSerin, Faruk
dc.contributor.authorErturkler, Metin
dc.date.accessioned2024-08-04T20:46:53Z
dc.date.available2024-08-04T20:46:53Z
dc.date.issued2020
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe cell is the smallest unit of living beings, which has structural and functional properties. Almost all cell behaviors are regulated by various intracellular reactions initiated by the signaling. The signaling and the distance between cells influence each other. Thus, cell-location-based modeling and analyzing of histopathological tissues provide important information to the expert. In literature, methods such as distance-based threshold, K-Nearest Neighbor, Voronoi graphs, Delaunay triangulation, and colored graph have been used. However, circular neighborhood relationships of cells have not been considered by any CAD system so far despite of its crucial impact. Thus, we developed the circular neighborhood cell-graph. Histopathological images of liver were classified by using features extracted from T-Distance, K-Nearest Neighbor, Voronoi, Delaunay, and the proposed cell-graph. Then, the classification performances of the methods were compared. Experimental results show that liver tissue images can be classified with accuracy of 95.7% by using the features provided by the proposed cell-graph model.en_US
dc.identifier.doi10.1002/ima.22372
dc.identifier.endpage326en_US
dc.identifier.issn0899-9457
dc.identifier.issn1098-1098
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85074399354en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage311en_US
dc.identifier.urihttps://doi.org/10.1002/ima.22372
dc.identifier.urihttps://hdl.handle.net/11616/99007
dc.identifier.volume30en_US
dc.identifier.wosWOS:000529998800004en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofInternational Journal of Imaging Systems and Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcell graphen_US
dc.subjecthistopathological image analyzingen_US
dc.subjectnucleien_US
dc.subjectproximity graphen_US
dc.titleA novel proximity graph: Circular neighborhood cell graph for histopathological tissue image analyzingen_US
dc.typeArticleen_US

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