Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods

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dc.contributor.authorTürk, Fuat
dc.contributor.authorLüy, Murat
dc.contributor.authorBarışçı, Necaattin
dc.date.accessioned2025-01-21T16:19:31Z
dc.date.available2025-01-21T16:19:31Z
dc.date.issued2019
dc.departmentKırıkkale Üniversitesi
dc.description.abstractKidney cancer is difficult to diagnose and it can be quite complicated for physicians to diagnose. In this study, while providinginformation about multiple sources to help people who are dealing with the challenges of the diagnosis of kidney cancer, in orderto serve as a guide the principles of kidney cancer are tried to be explained. In recent years, many new methods of treatment havebeen developed for kidney cancer, and some are under development by scientists. These studies provide treatment informationthat offers new hope to the lives of kidney cancer patients. In this study, it is aimed to get acquainted with kidney cancer cells byusing machine learning, and deep learning algorithms. In this way, an application can be developed to guide patients andphysicians through early diagnosis and classification.
dc.identifier.doi10.29137/umagd.640667
dc.identifier.endpage812
dc.identifier.issn1308-5514
dc.identifier.issue3
dc.identifier.startpage802
dc.identifier.trdizinid406767
dc.identifier.urihttps://doi.org/10.29137/umagd.640667
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/406767
dc.identifier.urihttps://hdl.handle.net/20.500.12587/23100
dc.identifier.volume11
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofUluslararası Mühendislik Araştırma ve Geliştirme Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectTıbbi İnformatik
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectGenel ve Dahili Tıp
dc.subjectOnkoloji
dc.subjectBilgisayar Bilimleri
dc.subjectYapay Zeka
dc.titleMachine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods
dc.typeArticle

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