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dc.contributor.authorOsman, Onuren_US
dc.contributor.authorÖzkan, Haydaren_US
dc.contributor.authorŞahin, Sinanen_US
dc.date.accessioned2016-05-24T07:52:37Z
dc.date.available2016-05-24T07:52:37Z
dc.date.issued2013
dc.identifier.citationOsman, O., Özkan, H., Şahin, S. (2013). Computer aided detection of pulmonary embolism in computer tomography angiography images. 2013 International Conference on Electronics, Computer and Computation, ICECCO 2013, 355-358.en_US
dc.identifier.isbn9781479933433
dc.identifier.urihttps://hdl.handle.net/20.500.12294/443
dc.identifier.urihttp://dx.doi.org/10.1109/ICECCO.2013.6718301
dc.descriptionOsman, Onur (Arel Author) --- Conference: International Conference on Electronics, Computer and Computation, ICECCO 2013en_US
dc.description.abstractPulmonary Embolism (PE), one of the circulatory system problems, is the clinical result at the end of that the lung artery or one or a few branches of them are bunged up by clot of blood. Besides it is a hard disease to diagnose, early diagnosis and treatment of it can save lives. In this study, a new CAD system is proposed for detection of PE in CTA images. Firstly, lung was segmented and Mediastinum Region (MR) was determined. Secondly, lung vessel segmentation was carried out. Lastly, PEs were detected according to region, intensity, and the size of PEs in lung vessel tree. Data set belongs to 15 patients were examined. 210 PEs were determined by the radiologists manually. 181 of them were detected as PE by our CAD system. According to the proposed method, 86.2% of sensitivity with 13.1 false positive per data sets (F P/ds) is obtained.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofInternational Conference on Electronics, Computer and Computation, ICECCO 2013en_US
dc.identifier.doi10.1109/ICECCO.2013.6718301en_US
dc.identifier.doi10.1109/ICECCO.2013.6718301
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectComputed Tomography Angiographyen_US
dc.subjectLung Segmentationen_US
dc.subjectLung Vessel Segmentationen_US
dc.subjectPulmonary Embolismen_US
dc.subjectComputer Aided Detectionen_US
dc.titleComputer aided detection of pulmonary embolism in computer tomography angiography imagesen_US
dc.typeconferenceObjecten_US
dc.departmentİstanbul Arel Üniversitesi, Mühendislik ve Mimarlık Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü.en_US
dc.authoridTR13219en_US
dc.authoridTR142265en_US
dc.identifier.startpage355en_US
dc.identifier.endpage358en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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