Mobile Application Development for the Estimation of Recurrence in Post-Operative Kidney Cancer Cases

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dc.contributor.authorTander, Baran
dc.contributor.authorÖzmen, Atilla
dc.contributor.authorOzden, Ender
dc.date.accessioned2019-06-27T08:00:58Z
dc.date.available2019-06-27T08:00:58Z
dc.date.issued2018
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentYüksekokullar, Kadir Has Meslek Yüksekokuluen_US
dc.description.abstractIn this paper a post-operative recurrence estimation tool called Sorbellini's nomogram for the kidney cancer patients showing no metastates is introduced and a novel application for mobile devices based on this model is developed for the physician's follow up procedures. The TNM stage tumor size nuclear (Fuhrman) grade the existance of necrosis and vascular invasion are employed as the input parameters for this software to predict the recurrence probability in mentioned patients. Finaly the performance analyses are carried out to verify the reliability of the application.en_US]
dc.identifier.citation0
dc.identifier.doi10.1109/TIPTEKNO.2018.8596779en_US
dc.identifier.isbn978-1-5386-6852-8
dc.identifier.scopus2-s2.0-85061695068en_US
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12469/188
dc.identifier.urihttps://doi.org/10.1109/TIPTEKNO.2018.8596779
dc.identifier.wosWOS:000467637600004en_US
dc.identifier.wosqualityN/A
dc.institutionauthorTander, Baranen_US
dc.institutionauthorÖzmen, Atillaen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.journalMedical Technologies National Congress (TIPTEKNO)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectKidney canceren_US
dc.subjectPost-operative follow-upen_US
dc.subjectSorbellini's nomogramen_US
dc.subjectMobile application developmenten_US
dc.titleMobile Application Development for the Estimation of Recurrence in Post-Operative Kidney Cancer Casesen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication75e36d40-1e6e-401f-b656-5894d3bd22e9
relation.isAuthorOfPublicationcf8f9e05-3f89-4ab6-af78-d0937210fb77
relation.isAuthorOfPublication.latestForDiscovery75e36d40-1e6e-401f-b656-5894d3bd22e9

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WoS İndeksli Yayınlar Koleksiyonu
Elektrik - Elektronik Mühendisliği Bölümü Koleksiyonu
Kadir Has Meslek Yüksekokulu
Scopus İndeksli Yayınlar Koleksiyonu