Detection of Injured Kidney in Computed Tomography

dc.contributor.author	Tulum, Gokalp
dc.contributor.author	Dandin, Ozgur
dc.contributor.author	Ergin, Tuncer
dc.contributor.author	Teomete, Uygar
dc.contributor.author	Cuce, Ferhat
dc.contributor.author	Osman, Onur
dc.date.accessioned	2021-12-21T08:47:31Z
dc.date.available	2021-12-21T08:47:31Z
dc.date.issued	2017
dc.identifier.isbn	978-1-5386-0440-3
dc.identifier.uri	http://dspace.yeniyuzyil.edu.tr:8080/xmlui/handle/20.500.12629/2254
dc.description.abstract	Timely and accurate diagnosis of intraabdominal organ injuries due to trauma is critical. Computer Assisted Detection (CAD) systems are rapidly developing techniques to segment the organs or to detect the pathologies in medical applications; either automa
dc.language.iso	Turkish
dc.publisher	Ieee
dc.relation.ispartof	Scientific Meeting on Electric Electronics, Computer Science, Biomedical Engineerings (EBBT)
dc.title	Detection of Injured Kidney in Computed Tomography
dc.type	Proceedings Paper
dc.relation.journal	2017 Electrıc Electronıcs, Computer Scıence, Bıomedıcal Engıneerıngs' Meetıng (Ebbt)

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