Year 2019, Volume 11 , Issue 3, Pages 802 - 812 2019-12-31

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

Fuat TÜRK [1] , Murat LÜY [2] , Necaattin BARIŞÇI [3]

Kidney cancer is difficult to diagnose and it can be quite complicated for physicians to diagnose. In this study, while providing information about multiple sources to help people who are dealing with the challenges of the diagnosis of kidney cancer, in order to serve as a guide the principles of kidney cancer are tried to be explained. In recent years, many new methods of treatment have been developed for kidney cancer, and some are under development by scientists. These studies provide treatment information that offers new hope to the lives of kidney cancer patients. In this study, it is aimed to get acquainted with kidney cancer cells by using machine learning, and deep learning algorithms. In this way, an application can be developed to guide patients and physicians through early diagnosis and classification.
Deep learning, Machine learning, kidney cancer
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Primary Language en
Subjects Engineering
Journal Section Articles

Orcid: 0000-0001-8159-360X
Author: Fuat TÜRK (Primary Author)
Country: Turkey

Author: Murat LÜY
Country: Turkey

Author: Necaattin BARIŞÇI
Country: Turkey


Publication Date : December 31, 2019

APA Türk, F , Lüy, M , Barışçı, N . (2019). Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods . International Journal of Engineering Research and Development , December 2019 - Special Issue , 802-812 . DOI: 10.29137/umagd.640667