Automatic Detection of Pulmonary Embolism in CTA Images Using Machine Learning

dc.contributor.author	Ozkan, Haydar
dc.contributor.author	Tulum, Gokalp
dc.contributor.author	Osman, Onur
dc.contributor.author	Sahin, Sinan
dc.date.accessioned	2021-12-21T08:47:42Z
dc.date.available	2021-12-21T08:47:42Z
dc.date.issued	2017
dc.identifier.issn	1392-1215
dc.identifier.uri	https://doi.org/10.5755/j01.eie.23.1.17585
dc.identifier.uri	http://dspace.yeniyuzyil.edu.tr:8080/xmlui/handle/20.500.12629/2289
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.description.sponsorship	Dr. Siyami Ersek Thoracic; Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey
dc.language.iso	English
dc.publisher	Kaunas Unıv Technology
dc.rights	Green Submitted, gold
dc.title	Automatic Detection of Pulmonary Embolism in CTA Images Using Machine Learning
dc.type	Article
dc.relation.journal	Elektronıka Ir Elektrotechnıka
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

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