Automatic detection of pulmonary embolism in CTA images using machine learning

dc.contributor.author	Ozkan, H.
dc.contributor.author	Tulum, G.
dc.contributor.author	Osman, O.
dc.contributor.author	Sahin, S.
dc.date.accessioned	2021-12-21T08:41:25Z
dc.date.available	2021-12-21T08:41:25Z
dc.date.issued	2017
dc.identifier.issn	13921215
dc.identifier.uri	https://doi.org/10.5755/j01.eie.23.1.17585
dc.identifier.uri	http://dspace.yeniyuzyil.edu.tr:8080/xmlui/handle/20.500.12629/1421
dc.description.abstract	In this study, a novel computer-aided detection (CAD) method is introduced to detect pulmonary embolism (PE) in computed tomography angiography (CTA) images. This method consists of lung vessel segmentation, PE candidate detection, feature extraction, fea
dc.language.iso	English
dc.publisher	Kauno Technologijos Universitetas
dc.rights	All Open Access, Gold, Green
dc.title	Automatic detection of pulmonary embolism in CTA images using machine learning
dc.type	Article
dc.relation.journal	Elektronika ir Elektrotechnika
dc.identifier.issue	1
dc.identifier.startpage	63
dc.identifier.endpage	67
dc.identifier.volume	23
dc.identifier.doi	10.5755/j01.eie.23.1.17585
dc.relation.issue	1
dc.relation.volume	23