Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6333
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dc.contributor.authorÇavuşculu, Melih-
dc.contributor.authorYetik, İmam Şamil-
dc.contributor.authorYeğiner, Mete-
dc.date.accessioned2021-09-11T15:35:52Z-
dc.date.available2021-09-11T15:35:52Z-
dc.date.issued2017en_US
dc.identifier.citation25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEYen_US
dc.identifier.isbn978-1-5090-6494-6-
dc.identifier.issn2165-0608-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6333-
dc.description.abstractUveal melanoma is a type of tumor that can cause loss of vision, loss of organ or even metastasis and loss of life. Radiotherapy is considered to be the least harmful and successful treatment type among various treatment methods. Radiotherapy should be carried out sensitively without movements of the iris. Therefore, the procedure is mostly performed by local anesthesia. Unfortunately, eye anesthesia can cause complications; therefore alternative methods are gaining importance. In this article, a method is proposed that can track the eye with a camera and automatically detect blinking so that radiotherapy can be aborted. Thus, we will be able to apply radiotherapy without anesthesia and it will he possible to stop the radiotherapy automatically so that the iris is not damaged in case of blinking. The developed method has been tested under various lighting conditions and it has been observed that the method has a very successful performance.en_US
dc.description.sponsorshipTurk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2017 25Th Signal Processing And Communications Applications Conference (Siu)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImage processingen_US
dc.subjectlearning algorithmsen_US
dc.subjectclassificationen_US
dc.subjectiris localizationen_US
dc.subjectuveal melanomaen_US
dc.titleAutomated Iris Localization for Radiotherapy Applicationsen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conferenceen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.wosWOS:000413813100396en_US
dc.identifier.scopus2-s2.0-85026290370en_US
dc.institutionauthorYetik, Imam Şamil-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference25th Signal Processing and Communications Applications Conference (SIU)en_US
item.openairetypeConference Object-
item.languageiso639-1tr-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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