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dc.contributor.authorKamasak, Mustafa
dc.contributor.authorErtas, METİN
dc.contributor.authorAkan, Aydin
dc.contributor.authorYıldırım, İsa
dc.date.accessioned2021-03-03T16:55:31Z
dc.date.available2021-03-03T16:55:31Z
dc.identifier.citationErtas M., Yıldırım İ., Kamasak M., Akan A., "An iterative tomosynthesis reconstruction using total variation combined with non-local means filtering", BIOMEDICAL ENGINEERING ONLINE, cilt.13, 2014
dc.identifier.issn1475-925X
dc.identifier.otherav_46f96402-656a-4db5-b8f7-424d417fbbbc
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/51281
dc.identifier.urihttps://doi.org/10.1186/1475-925x-13-65
dc.description.abstractBackground: After the release of compressed sensing (CS) theory, reconstruction algorithms from sparse and incomplete data have shown great improvements in diminishing artifacts of missing data. Following this progress, both local and non-local regularization induced iterative reconstructions have been actively used in limited view angle imaging problems.
dc.language.isoeng
dc.subjectMühendislik
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBiyomedikal Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.titleAn iterative tomosynthesis reconstruction using total variation combined with non-local means filtering
dc.typeMakale
dc.relation.journalBIOMEDICAL ENGINEERING ONLINE
dc.contributor.departmentİstanbul Teknik Üniversitesi , Elektrik-Elektronik , Elektronik Ve Haberleşme Mühendisliği
dc.identifier.volume13
dc.contributor.firstauthorID84323


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