Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/6333
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Çavuşculu, Melih | - |
dc.contributor.author | Yetik, İmam Şamil | - |
dc.contributor.author | Yeğiner, Mete | - |
dc.date.accessioned | 2021-09-11T15:35:52Z | - |
dc.date.available | 2021-09-11T15:35:52Z | - |
dc.date.issued | 2017 | en_US |
dc.identifier.citation | 25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY | en_US |
dc.identifier.isbn | 978-1-5090-6494-6 | - |
dc.identifier.issn | 2165-0608 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6333 | - |
dc.description.abstract | Uveal 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.sponsorship | Turk 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 Univ | en_US |
dc.language.iso | tr | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2017 25Th Signal Processing And Communications Applications Conference (Siu) | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Image processing | en_US |
dc.subject | learning algorithms | en_US |
dc.subject | classification | en_US |
dc.subject | iris localization | en_US |
dc.subject | uveal melanoma | en_US |
dc.title | Automated Iris Localization for Radiotherapy Applications | en_US |
dc.type | Conference Object | en_US |
dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | tr_TR |
dc.identifier.wos | WOS:000413813100396 | en_US |
dc.identifier.scopus | 2-s2.0-85026290370 | en_US |
dc.institutionauthor | Yetik, Imam Şamil | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.relation.conference | 25th Signal Processing and Communications Applications Conference (SIU) | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | tr | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.5. 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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