Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods
| dc.contributor.author | Türk, Fuat | |
| dc.contributor.author | Lüy, Murat | |
| dc.contributor.author | Barışçı, Necaattin | |
| dc.date.accessioned | 2025-01-21T14:28:06Z | |
| dc.date.available | 2025-01-21T14:28:06Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Kidney cancer isdifficult to diagnose and it can be quite complicated for physicians todiagnose. In this study, while providing information about multiple sources tohelp people who are dealing with the challenges of the diagnosis of kidneycancer, in order to serve as a guide the principles of kidney cancer are triedto be explained. In recent years, many new methods of treatment have beendeveloped for kidney cancer, and some are under development by scientists.These studies provide treatment information that offers new hope to the livesof kidney cancer patients. In this study, it is aimed to get acquainted withkidney cancer cells by using machine learning, and deep learning algorithms. Inthis way, an application can be developed to guide patients and physiciansthrough early diagnosis and classification. | |
| dc.identifier.dergipark | 640667 | |
| dc.identifier.doi | 10.29137/umagd.640667 | |
| dc.identifier.issn | 1308-5514 | |
| dc.identifier.issue | 3-802 | |
| dc.identifier.startpage | 812 | |
| dc.identifier.uri | https://dergipark.org.tr/tr/download/article-file/915895 | |
| dc.identifier.uri | https://dergipark.org.tr/tr/pub/umagd/issue/51608/640667 | |
| dc.identifier.uri | https://doi.org/10.29137/umagd.640667 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12587/20215 | |
| dc.identifier.volume | 1 | |
| dc.language.iso | en | |
| dc.publisher | Kırıkkale Üniversitesi | |
| dc.relation.ispartof | Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi | |
| dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_20241229 | |
| dc.subject | Deep learning | |
| dc.subject | Machine learning | |
| dc.subject | kidney cancer | |
| dc.subject | Engineering | |
| dc.subject | Mühendislik | |
| dc.title | Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods | |
| dc.type | Article |
