An alternative approach for medical image segmentation

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dc.authorscopusid36782570500
dc.authorscopusid57221078940
dc.authorscopusid6603490446
dc.contributor.authorNur Deniz F.
dc.contributor.authorBaykant Alagöz B.
dc.contributor.authorEmin Ta?luk M.
dc.date.accessioned2024-08-04T20:04:00Z
dc.date.available2024-08-04T20:04:00Z
dc.date.issued2010
dc.departmentİnönü Üniversitesien_US
dc.description18th IEEE Signal Processing and Communications Applications Conference, SIU 2010 -- 22 April 2010 through 24 April 2010 -- Diyarbakir -- 83388en_US
dc.description.abstractIn this study a segmentation algorithm controlled by a dissimilarity function composed of a few criterion for segmentation of medical images, starting from a seed point and growing toward the boundary of the considered anatomical tissue, is proposed. It has been shown that the algorithm can be controlled to overcome the complications such as noise, variations in the pixel values and weak connectivity encountered on the targeted anatomical region in the medical image. ©2010 IEEE.en_US
dc.identifier.doi10.1109/SIU.2010.5653146
dc.identifier.endpage889en_US
dc.identifier.isbn9781424496716
dc.identifier.scopus2-s2.0-78651458692en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage886en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2010.5653146
dc.identifier.urihttps://hdl.handle.net/11616/92272
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.relation.ispartofSIU 2010 - IEEE 18th Signal Processing and Communications Applications Conferenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMedical image analysisen_US
dc.subjectRegion-growingen_US
dc.subjectSegmentationen_US
dc.titleAn alternative approach for medical image segmentationen_US
dc.title.alternativeMedikal görüntüler i?çin alternatif bir bölütleme yaklaşimien_US
dc.typeConference Objecten_US

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