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dc.contributor.authorÖzkan, Haydaren_US
dc.contributor.authorOsman, Onuren_US
dc.contributor.authorŞahin, Sinanen_US
dc.contributor.authorBoz, Ali Fuaten_US
dc.date.accessioned2016-05-30T08:37:15Z
dc.date.available2016-05-30T08:37:15Z
dc.date.issued2014
dc.identifier.citationÖzkan, H., Osman, O., Şahin, S., Boz, A.F. (2014). A novel method for pulmonary embolism detection in CTA images. Computer Methods and Programs in Biomedicine March. 113.3, 757-766.en_US
dc.identifier.issn0169-2607
dc.identifier.urihttps://hdl.handle.net/20.500.12294/457
dc.identifier.urihttp://dx.doi.org/10.1016/j.cmpb.2013.12.014
dc.descriptionOsman, Onur (Arel Author)en_US
dc.description.abstractIn this paper, we propose a new computer-aided detection (CAD) – based method to detect pulmonary embolism (PE) in computed tomography angiography images (CTAI). Since lung vessel segmentation is the main objective to provide high sensitivity in PE detection, this method performs accurate lung vessel segmentation. To concatenate clogged vessels due to PEs, the starting region of PEs and some reference points (RPs) are determined. These RPs are detected according to the fixed anatomical structures. After lung vessel tree is segmented, the region, intensity, and size of PEs are used to distinguish them. We used the data sets that have heart disease or abnormal tissues because of lung disease except PE in this work. According to the results, 428 of 450 PEs, labeled by the radiologists from 33 patients, have been detected. The sensitivity of the developed system is 95.1% at 14.4 false positive per data set (FP/ds). With this performance, the proposed CAD system is found quite useful to use as a second reader by the radiologists.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComputed Tomography Angiography (CTA)en_US
dc.subjectLung Segmentationen_US
dc.subjectLung Vessel Segmentationen_US
dc.subjectPulmonary Embolism (PE)en_US
dc.subjectComputer Aided Detection (CAD)en_US
dc.titleA novel method for pulmonary embolism detection in CTA imagesen_US
dc.typearticleen_US
dc.relation.journalComputer Methods and Programs in Biomedicine Marchen_US
dc.contributor.departmentİstanbul Arel Üniversitesi, Mühendislik ve Mimarlık Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü.en_US
dc.contributor.authorIDTR142265en_US
dc.contributor.authorIDTR13219en_US
dc.contributor.authorIDTR222437en_US
dc.contributor.authorIDTR31643en_US
dc.identifier.volume113en_US
dc.identifier.issue3en_US
dc.identifier.startpage757en_US
dc.identifier.endpage766en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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